質問編集履歴
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リンク内容の変更
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### マウスで領域選択（元のプログラム）
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[リンク内容](https://teratail.com/u
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[リンク内容](https://teratail.com/questions/142436)
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作成プログラムの改善と新たなエラーの追記
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動画からボールの軌道を抽出するプログラムと
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動画にマウスで領域の４隅を選択すると線が引かれて領域を囲む
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動画上にマウスで領域の４隅を選択すると線が引かれて領域を囲む
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-
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プログラムを作成した。
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この２つのプログラムを組み合わせ、領域を選択してからボールの軌道を抽出する
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この２つのプログラムを組み合わせ、領域を選択してからボールの軌道を抽出する
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プログラムを作成したい。
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###
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### 発生したエラー
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Traceback (most recent call last):
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File "test.py",line 141, in <module>
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plist.run()
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File "test.py",line 100, in run
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color_diff = cv2.absdiff(self.frame_next, self.frame_pre) #フレーム間の差分
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AttributeError: 'PointList' object has no attribute 'frame_next'
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```Python
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# -*- coding: utf-8 -*-
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import cv2
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import sys
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import numpy as np
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VIDEO_DATE = "/home/pi/テニスコート撮影/tennis.AVI"
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WINDOW_NAME = "MouseEvent"
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def dilation(dilationSize, kernelSize, img): # 膨張した画像にして返す
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kernel = np.ones((kernelSize, kernelSize), np.uint8)
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element = cv2.getStructuringElement(
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cv2.MORPH_RECT, (2 * dilationSize + 1, 2 * dilationSize + 1), (dilationSize, dilationSize))
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dilation_img = cv2.dilate(img, kernel, element)
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return dilation_img
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def detect(gray_diff, thresh_diff=95, dilationSize=9, kernelSize=20): # 一定面積以上の物体を検出
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retval, black_diff = cv2.threshold(
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gray_diff, thresh_diff, 255, cv2.THRESH_BINARY) # 2値化
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dilation_img = dilation(dilationSize, kernelSize, black_diff) # 膨張処理
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img = dilation_img.copy()
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image, contours, hierarchy = cv2.findContours(
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dilation_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # 境界線検出
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ball_pos = []
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for i in range(len(contours)): # 重心位置を計算
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count = len(contours[i])
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area = cv2.contourArea(contours[i]) # 面積計算
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x, y = 0.0, 0.0
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for j in range(count):
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x += contours[i][j][0][0]
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y += contours[i][j][0][1]
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x /= count
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y /= count
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x = int(x)
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y = int(y)
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ball_pos.append([x, y])
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return ball_pos, img
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def displayCircle(image, ballList, thickness=5):
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for i in range(len(ballList)):
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x = int(ballList[i][0])
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y = int(ballList[i][1])
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cv2.circle(image, (x, y), 10, (0, 0, 255), thickness)
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return image
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def resizeImage(image, w=2, h=2):
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height = image.shape[0]
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width = image.shape[1]
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resizedImage = cv2.resize(image, (int(width / w), int(height / h)))
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return resizedImage
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def blackToColor(bImage):
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colorImage = np.array((bImage, bImage, bImage))
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colorImage = colorImage.transpose(1, 2, 0)
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return colorImage
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class PointList():
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def __init__(self, npoints):
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self.video = cv2.VideoCapture(VIDEO_DATE)
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self.frame = None
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self.npoints = npoints
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self.ptlist = np.empty((npoints, 2), dtype=int)
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self.pos = 0
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cv2.setMouseCallback(WINDOW_NAME, self.onMouse)
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def add(self, x, y):
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if self.pos < self.npoints:
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self.ptlist[self.pos, :] = [x, y]
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self.pos += 1
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return True
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return False
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def run(self):
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while(self.video.isOpened()):
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end_flag, self.frame = self.video.read()
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if not end_flag: # EOF
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break
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self.frame_pre = self.frame.copy()
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if(self.pos == self.npoints):
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# コメントアウト
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#print(self.ptlist)
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cv2.line(self.frame, (self.ptlist[0][0], self.ptlist[0][1]),
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(self.ptlist[1][0], self.ptlist[1][1]), (0, 255, 0), 3)
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cv2.line(self.frame, (self.ptlist[1][0], self.ptlist[1][1]),
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(self.ptlist[2][0], self.ptlist[2][1]), (0, 255, 0), 3)
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cv2.line(self.frame, (self.ptlist[2][0], self.ptlist[2][1]),
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(self.ptlist[3][0], self.ptlist[3][1]), (0, 255, 0), 3)
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cv2.line(self.frame, (self.ptlist[3][0], self.ptlist[3][1]),
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(self.ptlist[0][0], self.ptlist[0][1]), (0, 255, 0), 3)
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color_diff = cv2.absdiff(self.frame_next, self.frame_pre) # フレーム間の差分計算
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gray_diff = cv2.cvtColor(color_diff, cv2.COLOR_BGR2GRAY) # グレースケール変換
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retval, black_diff = cv2.threshold(gray_diff,30, 255, cv2.THRESH_BINARY)
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ball, dilation_img = detect(gray_diff)
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self.frame = displayCircle(self.frame, ball, 2) # 丸で加工
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cImage = blackToColor(dilation_img) # 2値化画像をカラーの配列サイズと同じにする
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im1 = resizeImage(frame, 2, 2)
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im2 = resizeImage(cImage, 2, 2)
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im_h = cv2.hconcat([im1, im2]) # 画像を横方向に連結
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cv2.imshow("Tracking", im_h) # フレームを画面表示
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out.write(im_h)
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self.frame_pre = self.frame_next.copy() # 次のフレームの読み込み
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cv2.imshow(WINDOW_NAME, self.frame)
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if cv2.waitKey(10) ==27: # Escキーで抜ける
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break
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def onMouse(self,event, x, y, flag, params):
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if event == cv2.EVENT_MOUSEMOVE: # マウスが移動したときにx線とy線を更新する
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self.frame2 = np.copy(self.frame)
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h, w = self.frame2.shape[0], self.frame2.shape[1]
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cv2.line(self.frame2, (x, 0), (x, h - 1), (255, 0, 0))
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279
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cv2.line(self.frame2, (0, y), (w - 1, y), (255, 0, 0))
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281
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cv2.imshow(WINDOW_NAME, self.frame2)
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283
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284
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285
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if event == cv2.EVENT_LBUTTONDOWN: # レフトボタンをクリックしたとき、ptlist配列にx,y座標を格納する
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286
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287
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if self.add(x, y):
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289
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print('[%d] ( %d, %d )' % (ptlist.pos - 1, x, y))
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291
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cv2.circle(self.frame, (x, y), 3, (0, 0, 255), 3)
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292
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293
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cv2.imshow(WINDOW_NAME, self.frame)
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else:
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296
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297
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print('All points have selected. Press ESC-key.')
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299
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300
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301
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if __name__ == '__main__':
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303
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cv2.namedWindow(WINDOW_NAME)
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305
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npoints = 4
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306
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307
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ptlist = PointList(npoints)
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309
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ptlist.run()
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310
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311
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312
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313
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```
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314
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315
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316
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317
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### 質問内容
|
|
318
|
+
|
|
319
|
+
・エラーの原因は何なのか？
|
|
320
|
+
|
|
321
|
+
・元の２つのプログラムを組み合わせるにはどうしたらいいか？
|
|
322
|
+
|
|
323
|
+
|
|
324
|
+
|
|
325
|
+
下記にプログラム作成に参考したプログラムとサイトページのリンクを載せます。
|
|
326
|
+
|
|
327
|
+
回答の参考にしてください。
|
|
328
|
+
|
|
329
|
+
|
|
330
|
+
|
|
331
|
+
### マウスで領域選択（元のプログラム）
|
|
332
|
+
|
|
333
|
+
[リンク内容](https://teratail.com/users/snake207/Question)
|
|
334
|
+
|
|
335
|
+
|
|
336
|
+
|
|
337
|
+
### ボール軌道抽出（元のプログラム）
|
|
338
|
+
|
|
339
|
+
```Python
|
|
340
|
+
|
|
19
341
|
import cv2
|
|
20
342
|
|
|
21
|
-
|
|
22
|
-
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|
23
|
-
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24
|
-
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25
|
-
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|
343
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+
import sys
|
|
26
|
-
|
|
344
|
+
|
|
27
|
-
|
|
345
|
+
import numpy as np
|
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cv2.line(self.frame2, (x, 0), (x, h - 1), (255, 0, 0))
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cv2.line(self.frame2, (0, y), (w - 1, y), (255, 0, 0))
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cv2.imshow(WINDOW_NAME, self.frame2)
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def run(input_video_path, output_video_path):
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video = cv2.VideoCapture(input_video_path) # videoファイルを読み込む
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467
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# fourcc = cv2.VideoWriter_fourcc(*'MJPG')
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fourcc = cv2.VideoWriter_fourcc(*'XVID')
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if not video.isOpened(): # ファイルがオープンできない場合の処理.
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474
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print("Could not open video")
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sys.exit()
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478
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479
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vidw = video.get(cv2.CAP_PROP_FRAME_WIDTH)
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vidh = video.get(cv2.CAP_PROP_FRAME_HEIGHT)
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484
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485
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out = cv2.VideoWriter(output_video_path, fourcc, 20.0,
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486
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(int(vidw), int(vidh))) # 出力先のファイルを開く
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ok, frame = video.read() # 最初のフレームを読み込む
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if not ok:
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print('Cannot read video file')
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sys.exit()
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498
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frame_pre = frame.copy()
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while True:
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ok, frame = video.read() # フレームを読み込む
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if not ok:
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break
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frame_next = frame.copy()
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color_diff = cv2.absdiff(frame_next, frame_pre) # フレーム間の差分計算
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gray_diff = cv2.cvtColor(color_diff, cv2.COLOR_BGR2GRAY) # グレースケール変換
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520
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retval, black_diff = cv2.threshold(
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gray_diff, 30, 255, cv2.THRESH_BINARY)
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ball, dilation_img = detect(gray_diff)
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frame = displayCircle(frame, ball, 2) # 丸で加工
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cImage = blackToColor(dilation_img) # 2値化画像をカラーの配列サイズと同じにする
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+
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im1 = resizeImage(frame, 2, 2)
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im2 = resizeImage(cImage, 2, 2)
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im_h = cv2.hconcat([im1, im2]) # 画像を横方向に連結
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541
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cv2.imshow("Tracking", im_h) # フレームを画面表示
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out.write(im_h)
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frame_pre = frame_next.copy() # 次のフレームの読み込み
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+
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551
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k = cv2.waitKey(1) & 0xff # ESCを押したら中止
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if k == 27:
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break
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video.release()
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out.release()
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cv2.destroyAllWindows()
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566
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+
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569
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256
570
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571
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if __name__ == '__main__':
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572
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259
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cv2.namedWindow(WINDOW_NAME)
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npoints = 4
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263
|
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ptl
|
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573
|
+
inputFile="tennis.avi"
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264
|
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574
|
+
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265
|
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ptl
|
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575
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+
outputFile="output.mp4"
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266
|
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576
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+
|
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267
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-
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577
|
+
run(inputFile, outputFile)
|
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268
578
|
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269
579
|
```
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270
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271
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272
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273
|
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### 質問内容
|
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274
|
-
|
|
275
|
-
・元の２つのプログラムを組み合わせるにはどうしたらいいか？
|
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276
|
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|
|
277
|
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下記に１つにまとめたプログラムの元のプログラムである２つのプログラムも載せておきます。
|
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278
|
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|
|
279
|
-
回答の参考にしてください。
|
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280
|
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|
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281
|
-
### ボール軌道抽出（元のプログラム）
|
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282
|
-
|
|
283
|
-
```Python
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284
|
-
|
|
285
|
-
import cv2
|
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286
|
-
|
|
287
|
-
import sys
|
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288
|
-
|
|
289
|
-
import numpy as np
|
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290
|
-
|
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291
|
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292
|
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293
|
-
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294
|
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295
|
-
def dilation(dilationSize, kernelSize, img): # 膨張した画像にして返す
|
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296
|
-
|
|
297
|
-
kernel = np.ones((kernelSize, kernelSize), np.uint8)
|
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298
|
-
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299
|
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element = cv2.getStructuringElement(
|
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300
|
-
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301
|
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cv2.MORPH_RECT, (2 * dilationSize + 1, 2 * dilationSize + 1), (dilationSize, dilationSize))
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302
|
-
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303
|
-
dilation_img = cv2.dilate(img, kernel, element)
|
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304
|
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305
|
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return dilation_img
|
|
306
|
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307
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308
|
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309
|
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310
|
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311
|
-
def detect(gray_diff, thresh_diff=30, dilationSize=9, kernelSize=20): # 一定面積以上の物体を検出
|
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312
|
-
|
|
313
|
-
retval, black_diff = cv2.threshold(
|
|
314
|
-
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|
315
|
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gray_diff, thresh_diff, 255, cv2.THRESH_BINARY) # 2値化
|
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316
|
-
|
|
317
|
-
dilation_img = dilation(dilationSize, kernelSize, black_diff) # 膨張処理
|
|
318
|
-
|
|
319
|
-
img = dilation_img.copy()
|
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320
|
-
|
|
321
|
-
image, contours, hierarchy = cv2.findContours(
|
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322
|
-
|
|
323
|
-
dilation_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # 境界線検出
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324
|
-
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325
|
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326
|
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|
327
|
-
ball_pos = []
|
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328
|
-
|
|
329
|
-
|
|
330
|
-
|
|
331
|
-
for i in range(len(contours)): # 重心位置を計算
|
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332
|
-
|
|
333
|
-
count = len(contours[i])
|
|
334
|
-
|
|
335
|
-
area = cv2.contourArea(contours[i]) # 面積計算
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336
|
-
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337
|
-
x, y = 0.0, 0.0
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338
|
-
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339
|
-
for j in range(count):
|
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340
|
-
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341
|
-
x += contours[i][j][0][0]
|
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342
|
-
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343
|
-
y += contours[i][j][0][1]
|
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344
|
-
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345
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346
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347
|
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x /= count
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348
|
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349
|
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y /= count
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350
|
-
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351
|
-
x = int(x)
|
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352
|
-
|
|
353
|
-
y = int(y)
|
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354
|
-
|
|
355
|
-
ball_pos.append([x, y])
|
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356
|
-
|
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357
|
-
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358
|
-
|
|
359
|
-
return ball_pos, img
|
|
360
|
-
|
|
361
|
-
|
|
362
|
-
|
|
363
|
-
|
|
364
|
-
|
|
365
|
-
def displayCircle(image, ballList, thickness=5):
|
|
366
|
-
|
|
367
|
-
for i in range(len(ballList)):
|
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368
|
-
|
|
369
|
-
x = int(ballList[i][0])
|
|
370
|
-
|
|
371
|
-
y = int(ballList[i][1])
|
|
372
|
-
|
|
373
|
-
cv2.circle(image, (x, y), 10, (0, 0, 255), thickness)
|
|
374
|
-
|
|
375
|
-
return image
|
|
376
|
-
|
|
377
|
-
|
|
378
|
-
|
|
379
|
-
|
|
380
|
-
|
|
381
|
-
def resizeImage(image, w=2, h=2):
|
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382
|
-
|
|
383
|
-
height = image.shape[0]
|
|
384
|
-
|
|
385
|
-
width = image.shape[1]
|
|
386
|
-
|
|
387
|
-
resizedImage = cv2.resize(image, (int(width / w), int(height / h)))
|
|
388
|
-
|
|
389
|
-
return resizedImage
|
|
390
|
-
|
|
391
|
-
|
|
392
|
-
|
|
393
|
-
|
|
394
|
-
|
|
395
|
-
def blackToColor(bImage):
|
|
396
|
-
|
|
397
|
-
colorImage = np.array((bImage, bImage, bImage))
|
|
398
|
-
|
|
399
|
-
colorImage = colorImage.transpose(1, 2, 0)
|
|
400
|
-
|
|
401
|
-
return colorImage
|
|
402
|
-
|
|
403
|
-
|
|
404
|
-
|
|
405
|
-
|
|
406
|
-
|
|
407
|
-
def run(input_video_path, output_video_path):
|
|
408
|
-
|
|
409
|
-
video = cv2.VideoCapture(input_video_path) # videoファイルを読み込む
|
|
410
|
-
|
|
411
|
-
# fourcc = cv2.VideoWriter_fourcc(*'MJPG')
|
|
412
|
-
|
|
413
|
-
fourcc = cv2.VideoWriter_fourcc(*'XVID')
|
|
414
|
-
|
|
415
|
-
|
|
416
|
-
|
|
417
|
-
if not video.isOpened(): # ファイルがオープンできない場合の処理.
|
|
418
|
-
|
|
419
|
-
print("Could not open video")
|
|
420
|
-
|
|
421
|
-
sys.exit()
|
|
422
|
-
|
|
423
|
-
|
|
424
|
-
|
|
425
|
-
vidw = video.get(cv2.CAP_PROP_FRAME_WIDTH)
|
|
426
|
-
|
|
427
|
-
vidh = video.get(cv2.CAP_PROP_FRAME_HEIGHT)
|
|
428
|
-
|
|
429
|
-
out = cv2.VideoWriter(output_video_path, fourcc, 20.0,
|
|
430
|
-
|
|
431
|
-
(int(vidw), int(vidh))) # 出力先のファイルを開く
|
|
432
|
-
|
|
433
|
-
|
|
434
|
-
|
|
435
|
-
ok, frame = video.read() # 最初のフレームを読み込む
|
|
436
|
-
|
|
437
|
-
if not ok:
|
|
438
|
-
|
|
439
|
-
print('Cannot read video file')
|
|
440
|
-
|
|
441
|
-
sys.exit()
|
|
442
|
-
|
|
443
|
-
|
|
444
|
-
|
|
445
|
-
frame_pre = frame.copy()
|
|
446
|
-
|
|
447
|
-
|
|
448
|
-
|
|
449
|
-
while True:
|
|
450
|
-
|
|
451
|
-
ok, frame = video.read() # フレームを読み込む
|
|
452
|
-
|
|
453
|
-
if not ok:
|
|
454
|
-
|
|
455
|
-
break
|
|
456
|
-
|
|
457
|
-
frame_next = frame.copy()
|
|
458
|
-
|
|
459
|
-
|
|
460
|
-
|
|
461
|
-
color_diff = cv2.absdiff(frame_next, frame_pre) # フレーム間の差分計算
|
|
462
|
-
|
|
463
|
-
gray_diff = cv2.cvtColor(color_diff, cv2.COLOR_BGR2GRAY) # グレースケール変換
|
|
464
|
-
|
|
465
|
-
retval, black_diff = cv2.threshold(
|
|
466
|
-
|
|
467
|
-
gray_diff, 30, 255, cv2.THRESH_BINARY)
|
|
468
|
-
|
|
469
|
-
|
|
470
|
-
|
|
471
|
-
ball, dilation_img = detect(gray_diff)
|
|
472
|
-
|
|
473
|
-
|
|
474
|
-
|
|
475
|
-
frame = displayCircle(frame, ball, 2) # 丸で加工
|
|
476
|
-
|
|
477
|
-
cImage = blackToColor(dilation_img) # 2値化画像をカラーの配列サイズと同じにする
|
|
478
|
-
|
|
479
|
-
im1 = resizeImage(frame, 2, 2)
|
|
480
|
-
|
|
481
|
-
im2 = resizeImage(cImage, 2, 2)
|
|
482
|
-
|
|
483
|
-
im_h = cv2.hconcat([im1, im2]) # 画像を横方向に連結
|
|
484
|
-
|
|
485
|
-
|
|
486
|
-
|
|
487
|
-
cv2.imshow("Tracking", im_h) # フレームを画面表示
|
|
488
|
-
|
|
489
|
-
out.write(im_h)
|
|
490
|
-
|
|
491
|
-
|
|
492
|
-
|
|
493
|
-
frame_pre = frame_next.copy() # 次のフレームの読み込み
|
|
494
|
-
|
|
495
|
-
|
|
496
|
-
|
|
497
|
-
k = cv2.waitKey(1) & 0xff # ESCを押したら中止
|
|
498
|
-
|
|
499
|
-
if k == 27:
|
|
500
|
-
|
|
501
|
-
break
|
|
502
|
-
|
|
503
|
-
|
|
504
|
-
|
|
505
|
-
video.release()
|
|
506
|
-
|
|
507
|
-
out.release()
|
|
508
|
-
|
|
509
|
-
cv2.destroyAllWindows()
|
|
510
|
-
|
|
511
|
-
|
|
512
|
-
|
|
513
|
-
|
|
514
|
-
|
|
515
|
-
if __name__ == '__main__':
|
|
516
|
-
|
|
517
|
-
inputFile="tennis.avi"
|
|
518
|
-
|
|
519
|
-
outputFile="output.mp4"
|
|
520
|
-
|
|
521
|
-
run(inputFile, outputFile)
|
|
522
|
-
|
|
523
|
-
```
|
|
524
|
-
|
|
525
|
-
### 参考サイト
|
|
526
|
-
|
|
527
|
-
[リンク内容](http://datatennis.net/archives/4024/)
|
3
プログラム転記漏れの追記
test
CHANGED
|
File without changes
|
test
CHANGED
|
@@ -254,6 +254,18 @@
|
|
|
254
254
|
|
|
255
255
|
cv2.imshow(WINDOW_NAME, self.frame2)
|
|
256
256
|
|
|
257
|
+
if __name__ == '__main__':
|
|
258
|
+
|
|
259
|
+
cv2.namedWindow(WINDOW_NAME)
|
|
260
|
+
|
|
261
|
+
npoints = 4
|
|
262
|
+
|
|
263
|
+
ptlist = PointList(npoints)
|
|
264
|
+
|
|
265
|
+
ptlist.run()
|
|
266
|
+
|
|
267
|
+
cv2.destroyAllWindows()
|
|
268
|
+
|
|
257
269
|
```
|
|
258
270
|
|
|
259
271
|
|
|
@@ -509,3 +521,7 @@
|
|
|
509
521
|
run(inputFile, outputFile)
|
|
510
522
|
|
|
511
523
|
```
|
|
524
|
+
|
|
525
|
+
### 参考サイト
|
|
526
|
+
|
|
527
|
+
[リンク内容](http://datatennis.net/archives/4024/)
|
2
１つにまとめたプログラムの追記
test
CHANGED
|
File without changes
|
test
CHANGED
|
@@ -1,18 +1,14 @@
|
|
|
1
1
|
### やりたいこと
|
|
2
2
|
|
|
3
|
-
テニスボールのバウンド位置を検出し、マウスで選択したテニスコートの領域内に
|
|
4
|
-
|
|
5
|
-
ボールが落ちたのかを判断するプログラムを作成しようとしています。
|
|
6
|
-
|
|
7
|
-
|
|
3
|
+
動画からボールの軌道を抽出するプログラムと
|
|
8
|
-
|
|
4
|
+
|
|
9
|
-
動画にマウスで領域の４隅を選択すると線が引かれて領域を囲むプログラムを作成し
|
|
5
|
+
動画にマウスで領域の４隅を選択すると線が引かれて領域を囲むプログラムを作成した。
|
|
10
|
-
|
|
6
|
+
|
|
11
|
-
この２つのプログラムを組み合わせ
|
|
7
|
+
この２つのプログラムを組み合わせ、領域を選択してからボールの軌道を抽出するプログラムを作成したい。
|
|
12
8
|
|
|
13
9
|
###実行結果
|
|
14
10
|
|
|
15
|
-
作成した２つのプログラムを１つにまとめたのですが、何も画面に表示され
|
|
11
|
+
作成した２つのプログラムを１つにまとめたのですが、何も画面に表示されなかった。
|
|
16
12
|
|
|
17
13
|
```Python
|
|
18
14
|
|
|
@@ -32,6 +28,114 @@
|
|
|
32
28
|
|
|
33
29
|
|
|
34
30
|
|
|
31
|
+
def dilation(dilationSize, kernelSize, img): # 膨張した画像にして返す
|
|
32
|
+
|
|
33
|
+
kernel = np.ones((kernelSize, kernelSize), np.uint8)
|
|
34
|
+
|
|
35
|
+
element = cv2.getStructuringElement(
|
|
36
|
+
|
|
37
|
+
cv2.MORPH_RECT, (2 * dilationSize + 1, 2 * dilationSize + 1), (dilationSize, dilationSize))
|
|
38
|
+
|
|
39
|
+
dilation_img = cv2.dilate(img, kernel, element)
|
|
40
|
+
|
|
41
|
+
return dilation_img
|
|
42
|
+
|
|
43
|
+
|
|
44
|
+
|
|
45
|
+
|
|
46
|
+
|
|
47
|
+
def detect(gray_diff, thresh_diff=30, dilationSize=9, kernelSize=20): # 一定面積以上の物体を検出
|
|
48
|
+
|
|
49
|
+
retval, black_diff = cv2.threshold(
|
|
50
|
+
|
|
51
|
+
gray_diff, thresh_diff, 255, cv2.THRESH_BINARY) # 2値化
|
|
52
|
+
|
|
53
|
+
dilation_img = dilation(dilationSize, kernelSize, black_diff) # 膨張処理
|
|
54
|
+
|
|
55
|
+
img = dilation_img.copy()
|
|
56
|
+
|
|
57
|
+
image, contours, hierarchy = cv2.findContours(
|
|
58
|
+
|
|
59
|
+
dilation_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # 境界線検出
|
|
60
|
+
|
|
61
|
+
|
|
62
|
+
|
|
63
|
+
ball_pos = []
|
|
64
|
+
|
|
65
|
+
|
|
66
|
+
|
|
67
|
+
for i in range(len(contours)): # 重心位置を計算
|
|
68
|
+
|
|
69
|
+
count = len(contours[i])
|
|
70
|
+
|
|
71
|
+
area = cv2.contourArea(contours[i]) # 面積計算
|
|
72
|
+
|
|
73
|
+
x, y = 0.0, 0.0
|
|
74
|
+
|
|
75
|
+
for j in range(count):
|
|
76
|
+
|
|
77
|
+
x += contours[i][j][0][0]
|
|
78
|
+
|
|
79
|
+
y += contours[i][j][0][1]
|
|
80
|
+
|
|
81
|
+
|
|
82
|
+
|
|
83
|
+
x /= count
|
|
84
|
+
|
|
85
|
+
y /= count
|
|
86
|
+
|
|
87
|
+
x = int(x)
|
|
88
|
+
|
|
89
|
+
y = int(y)
|
|
90
|
+
|
|
91
|
+
ball_pos.append([x, y])
|
|
92
|
+
|
|
93
|
+
|
|
94
|
+
|
|
95
|
+
return ball_pos, img
|
|
96
|
+
|
|
97
|
+
|
|
98
|
+
|
|
99
|
+
|
|
100
|
+
|
|
101
|
+
def displayCircle(image, ballList, thickness=5):
|
|
102
|
+
|
|
103
|
+
for i in range(len(ballList)):
|
|
104
|
+
|
|
105
|
+
x = int(ballList[i][0])
|
|
106
|
+
|
|
107
|
+
y = int(ballList[i][1])
|
|
108
|
+
|
|
109
|
+
cv2.circle(image, (x, y), 10, (0, 0, 255), thickness)
|
|
110
|
+
|
|
111
|
+
return image
|
|
112
|
+
|
|
113
|
+
|
|
114
|
+
|
|
115
|
+
|
|
116
|
+
|
|
117
|
+
def resizeImage(image, w=2, h=2):
|
|
118
|
+
|
|
119
|
+
height = image.shape[0]
|
|
120
|
+
|
|
121
|
+
width = image.shape[1]
|
|
122
|
+
|
|
123
|
+
resizedImage = cv2.resize(image, (int(width / w), int(height / h)))
|
|
124
|
+
|
|
125
|
+
return resizedImage
|
|
126
|
+
|
|
127
|
+
|
|
128
|
+
|
|
129
|
+
|
|
130
|
+
|
|
131
|
+
def blackToColor(bImage):
|
|
132
|
+
|
|
133
|
+
colorImage = np.array((bImage, bImage, bImage))
|
|
134
|
+
|
|
135
|
+
colorImage = colorImage.transpose(1, 2, 0)
|
|
136
|
+
|
|
137
|
+
return colorImage
|
|
138
|
+
|
|
35
139
|
|
|
36
140
|
|
|
37
141
|
class PointList():
|
|
@@ -98,6 +202,36 @@
|
|
|
98
202
|
|
|
99
203
|
(self.ptlist[0][0], self.ptlist[0][1]), (0, 255, 0), 3)
|
|
100
204
|
|
|
205
|
+
color_diff = cv2.absdiff(frame_next, frame_pre) # フレーム間の差分計算
|
|
206
|
+
|
|
207
|
+
gray_diff = cv2.cvtColor(color_diff, cv2.COLOR_BGR2GRAY) # グレースケール変換
|
|
208
|
+
|
|
209
|
+
retval, black_diff = cv2.threshold(gray_diff, 30, 255, cv2.THRESH_BINARY)
|
|
210
|
+
|
|
211
|
+
|
|
212
|
+
|
|
213
|
+
ball, dilation_img = detect(gray_diff)
|
|
214
|
+
|
|
215
|
+
|
|
216
|
+
|
|
217
|
+
self.frame = displayCircle(self.frame, ball, 2) # 丸で加工
|
|
218
|
+
|
|
219
|
+
cImage = blackToColor(dilation_img) # 2値化画像をカラーの配列サイズと同じにする
|
|
220
|
+
|
|
221
|
+
im1 = resizeImage(selg.frame, 2, 2)
|
|
222
|
+
|
|
223
|
+
im2 = resizeImage(cImage, 2, 2)
|
|
224
|
+
|
|
225
|
+
im_h = cv2.hconcat([im1, im2]) # 画像を横方向に連結
|
|
226
|
+
|
|
227
|
+
|
|
228
|
+
|
|
229
|
+
cv2.imshow("Tracking", im_h) # フレームを画面表示
|
|
230
|
+
|
|
231
|
+
out.write(im_h)
|
|
232
|
+
|
|
233
|
+
|
|
234
|
+
|
|
101
235
|
cv2.imshow(WINDOW_NAME, self.frame)
|
|
102
236
|
|
|
103
237
|
if cv2.waitKey(10) ==27: # Escキーで抜ける
|
|
@@ -120,21 +254,247 @@
|
|
|
120
254
|
|
|
121
255
|
cv2.imshow(WINDOW_NAME, self.frame2)
|
|
122
256
|
|
|
123
|
-
|
|
124
|
-
|
|
125
|
-
|
|
126
|
-
|
|
127
|
-
|
|
128
|
-
|
|
129
|
-
|
|
130
|
-
|
|
131
|
-
|
|
132
|
-
|
|
133
|
-
|
|
134
|
-
|
|
135
|
-
|
|
136
|
-
|
|
137
|
-
|
|
257
|
+
```
|
|
258
|
+
|
|
259
|
+
|
|
260
|
+
|
|
261
|
+
### 質問内容
|
|
262
|
+
|
|
263
|
+
・元の２つのプログラムを組み合わせるにはどうしたらいいか？
|
|
264
|
+
|
|
265
|
+
下記に１つにまとめたプログラムの元のプログラムである２つのプログラムも載せておきます。
|
|
266
|
+
|
|
267
|
+
回答の参考にしてください。
|
|
268
|
+
|
|
269
|
+
### ボール軌道抽出（元のプログラム）
|
|
270
|
+
|
|
271
|
+
```Python
|
|
272
|
+
|
|
273
|
+
import cv2
|
|
274
|
+
|
|
275
|
+
import sys
|
|
276
|
+
|
|
277
|
+
import numpy as np
|
|
278
|
+
|
|
279
|
+
|
|
280
|
+
|
|
281
|
+
|
|
282
|
+
|
|
283
|
+
def dilation(dilationSize, kernelSize, img): # 膨張した画像にして返す
|
|
284
|
+
|
|
285
|
+
kernel = np.ones((kernelSize, kernelSize), np.uint8)
|
|
286
|
+
|
|
287
|
+
element = cv2.getStructuringElement(
|
|
288
|
+
|
|
289
|
+
cv2.MORPH_RECT, (2 * dilationSize + 1, 2 * dilationSize + 1), (dilationSize, dilationSize))
|
|
290
|
+
|
|
291
|
+
dilation_img = cv2.dilate(img, kernel, element)
|
|
292
|
+
|
|
293
|
+
return dilation_img
|
|
294
|
+
|
|
295
|
+
|
|
296
|
+
|
|
297
|
+
|
|
298
|
+
|
|
299
|
+
def detect(gray_diff, thresh_diff=30, dilationSize=9, kernelSize=20): # 一定面積以上の物体を検出
|
|
300
|
+
|
|
301
|
+
retval, black_diff = cv2.threshold(
|
|
302
|
+
|
|
303
|
+
gray_diff, thresh_diff, 255, cv2.THRESH_BINARY) # 2値化
|
|
304
|
+
|
|
305
|
+
dilation_img = dilation(dilationSize, kernelSize, black_diff) # 膨張処理
|
|
306
|
+
|
|
307
|
+
img = dilation_img.copy()
|
|
308
|
+
|
|
309
|
+
image, contours, hierarchy = cv2.findContours(
|
|
310
|
+
|
|
311
|
+
dilation_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # 境界線検出
|
|
312
|
+
|
|
313
|
+
|
|
314
|
+
|
|
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ball_pos = []
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for i in range(len(contours)): # 重心位置を計算
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count = len(contours[i])
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area = cv2.contourArea(contours[i]) # 面積計算
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x, y = 0.0, 0.0
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for j in range(count):
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x += contours[i][j][0][0]
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y += contours[i][j][0][1]
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x /= count
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y /= count
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x = int(x)
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y = int(y)
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ball_pos.append([x, y])
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return ball_pos, img
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def displayCircle(image, ballList, thickness=5):
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for i in range(len(ballList)):
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x = int(ballList[i][0])
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y = int(ballList[i][1])
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cv2.circle(image, (x, y), 10, (0, 0, 255), thickness)
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return image
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369
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def resizeImage(image, w=2, h=2):
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+
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371
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+
height = image.shape[0]
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+
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width = image.shape[1]
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374
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+
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375
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+
resizedImage = cv2.resize(image, (int(width / w), int(height / h)))
|
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376
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+
|
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377
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+
return resizedImage
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378
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+
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379
|
+
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380
|
+
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381
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+
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382
|
+
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383
|
+
def blackToColor(bImage):
|
|
384
|
+
|
|
385
|
+
colorImage = np.array((bImage, bImage, bImage))
|
|
386
|
+
|
|
387
|
+
colorImage = colorImage.transpose(1, 2, 0)
|
|
388
|
+
|
|
389
|
+
return colorImage
|
|
390
|
+
|
|
391
|
+
|
|
392
|
+
|
|
393
|
+
|
|
394
|
+
|
|
395
|
+
def run(input_video_path, output_video_path):
|
|
396
|
+
|
|
397
|
+
video = cv2.VideoCapture(input_video_path) # videoファイルを読み込む
|
|
398
|
+
|
|
399
|
+
# fourcc = cv2.VideoWriter_fourcc(*'MJPG')
|
|
400
|
+
|
|
401
|
+
fourcc = cv2.VideoWriter_fourcc(*'XVID')
|
|
402
|
+
|
|
403
|
+
|
|
404
|
+
|
|
405
|
+
if not video.isOpened(): # ファイルがオープンできない場合の処理.
|
|
406
|
+
|
|
407
|
+
print("Could not open video")
|
|
408
|
+
|
|
409
|
+
sys.exit()
|
|
410
|
+
|
|
411
|
+
|
|
412
|
+
|
|
413
|
+
vidw = video.get(cv2.CAP_PROP_FRAME_WIDTH)
|
|
414
|
+
|
|
415
|
+
vidh = video.get(cv2.CAP_PROP_FRAME_HEIGHT)
|
|
416
|
+
|
|
417
|
+
out = cv2.VideoWriter(output_video_path, fourcc, 20.0,
|
|
418
|
+
|
|
419
|
+
(int(vidw), int(vidh))) # 出力先のファイルを開く
|
|
420
|
+
|
|
421
|
+
|
|
422
|
+
|
|
423
|
+
ok, frame = video.read() # 最初のフレームを読み込む
|
|
424
|
+
|
|
425
|
+
if not ok:
|
|
426
|
+
|
|
427
|
+
print('Cannot read video file')
|
|
428
|
+
|
|
429
|
+
sys.exit()
|
|
430
|
+
|
|
431
|
+
|
|
432
|
+
|
|
433
|
+
frame_pre = frame.copy()
|
|
434
|
+
|
|
435
|
+
|
|
436
|
+
|
|
437
|
+
while True:
|
|
438
|
+
|
|
439
|
+
ok, frame = video.read() # フレームを読み込む
|
|
440
|
+
|
|
441
|
+
if not ok:
|
|
442
|
+
|
|
443
|
+
break
|
|
444
|
+
|
|
445
|
+
frame_next = frame.copy()
|
|
446
|
+
|
|
447
|
+
|
|
448
|
+
|
|
449
|
+
color_diff = cv2.absdiff(frame_next, frame_pre) # フレーム間の差分計算
|
|
450
|
+
|
|
451
|
+
gray_diff = cv2.cvtColor(color_diff, cv2.COLOR_BGR2GRAY) # グレースケール変換
|
|
452
|
+
|
|
453
|
+
retval, black_diff = cv2.threshold(
|
|
454
|
+
|
|
455
|
+
gray_diff, 30, 255, cv2.THRESH_BINARY)
|
|
456
|
+
|
|
457
|
+
|
|
458
|
+
|
|
459
|
+
ball, dilation_img = detect(gray_diff)
|
|
460
|
+
|
|
461
|
+
|
|
462
|
+
|
|
463
|
+
frame = displayCircle(frame, ball, 2) # 丸で加工
|
|
464
|
+
|
|
465
|
+
cImage = blackToColor(dilation_img) # 2値化画像をカラーの配列サイズと同じにする
|
|
466
|
+
|
|
467
|
+
im1 = resizeImage(frame, 2, 2)
|
|
468
|
+
|
|
469
|
+
im2 = resizeImage(cImage, 2, 2)
|
|
470
|
+
|
|
471
|
+
im_h = cv2.hconcat([im1, im2]) # 画像を横方向に連結
|
|
472
|
+
|
|
473
|
+
|
|
474
|
+
|
|
475
|
+
cv2.imshow("Tracking", im_h) # フレームを画面表示
|
|
476
|
+
|
|
477
|
+
out.write(im_h)
|
|
478
|
+
|
|
479
|
+
|
|
480
|
+
|
|
481
|
+
frame_pre = frame_next.copy() # 次のフレームの読み込み
|
|
482
|
+
|
|
483
|
+
|
|
484
|
+
|
|
485
|
+
k = cv2.waitKey(1) & 0xff # ESCを押したら中止
|
|
486
|
+
|
|
487
|
+
if k == 27:
|
|
488
|
+
|
|
489
|
+
break
|
|
490
|
+
|
|
491
|
+
|
|
492
|
+
|
|
493
|
+
video.release()
|
|
494
|
+
|
|
495
|
+
out.release()
|
|
496
|
+
|
|
497
|
+
cv2.destroyAllWindows()
|
|
138
498
|
|
|
139
499
|
|
|
140
500
|
|
|
@@ -142,416 +502,10 @@
|
|
|
142
502
|
|
|
143
503
|
if __name__ == '__main__':
|
|
144
504
|
|
|
145
|
-
cv2.namedWindow(WINDOW_NAME)
|
|
146
|
-
|
|
147
|
-
npoints = 4
|
|
148
|
-
|
|
149
|
-
ptl
|
|
505
|
+
inputFile="tennis.avi"
|
|
150
|
-
|
|
506
|
+
|
|
151
|
-
ptl
|
|
507
|
+
outputFile="output.mp4"
|
|
152
|
-
|
|
508
|
+
|
|
153
|
-
|
|
509
|
+
run(inputFile, outputFile)
|
|
154
510
|
|
|
155
511
|
```
|
|
156
|
-
|
|
157
|
-
|
|
158
|
-
|
|
159
|
-
### 質問内容
|
|
160
|
-
|
|
161
|
-
・元の２つのプログラムを組み合わせるにはどうしたらいいか？
|
|
162
|
-
|
|
163
|
-
・テニスボールのバウンド位置を検出する方法は何かあるのか？
|
|
164
|
-
|
|
165
|
-
下記に１つにまとめたプログラムの元のプログラムである２つのプログラムも載せておきます。
|
|
166
|
-
|
|
167
|
-
回答の参考にしてください。
|
|
168
|
-
|
|
169
|
-
### ボール軌道抽出（元のプログラム）
|
|
170
|
-
|
|
171
|
-
```Python
|
|
172
|
-
|
|
173
|
-
import cv2
|
|
174
|
-
|
|
175
|
-
import sys
|
|
176
|
-
|
|
177
|
-
import numpy as np
|
|
178
|
-
|
|
179
|
-
|
|
180
|
-
|
|
181
|
-
|
|
182
|
-
|
|
183
|
-
def dilation(dilationSize, kernelSize, img): # 膨張した画像にして返す
|
|
184
|
-
|
|
185
|
-
kernel = np.ones((kernelSize, kernelSize), np.uint8)
|
|
186
|
-
|
|
187
|
-
element = cv2.getStructuringElement(
|
|
188
|
-
|
|
189
|
-
cv2.MORPH_RECT, (2 * dilationSize + 1, 2 * dilationSize + 1), (dilationSize, dilationSize))
|
|
190
|
-
|
|
191
|
-
dilation_img = cv2.dilate(img, kernel, element)
|
|
192
|
-
|
|
193
|
-
return dilation_img
|
|
194
|
-
|
|
195
|
-
|
|
196
|
-
|
|
197
|
-
|
|
198
|
-
|
|
199
|
-
def detect(gray_diff, thresh_diff=30, dilationSize=9, kernelSize=20): # 一定面積以上の物体を検出
|
|
200
|
-
|
|
201
|
-
retval, black_diff = cv2.threshold(
|
|
202
|
-
|
|
203
|
-
gray_diff, thresh_diff, 255, cv2.THRESH_BINARY) # 2値化
|
|
204
|
-
|
|
205
|
-
dilation_img = dilation(dilationSize, kernelSize, black_diff) # 膨張処理
|
|
206
|
-
|
|
207
|
-
img = dilation_img.copy()
|
|
208
|
-
|
|
209
|
-
image, contours, hierarchy = cv2.findContours(
|
|
210
|
-
|
|
211
|
-
dilation_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # 境界線検出
|
|
212
|
-
|
|
213
|
-
|
|
214
|
-
|
|
215
|
-
ball_pos = []
|
|
216
|
-
|
|
217
|
-
|
|
218
|
-
|
|
219
|
-
for i in range(len(contours)): # 重心位置を計算
|
|
220
|
-
|
|
221
|
-
count = len(contours[i])
|
|
222
|
-
|
|
223
|
-
area = cv2.contourArea(contours[i]) # 面積計算
|
|
224
|
-
|
|
225
|
-
x, y = 0.0, 0.0
|
|
226
|
-
|
|
227
|
-
for j in range(count):
|
|
228
|
-
|
|
229
|
-
x += contours[i][j][0][0]
|
|
230
|
-
|
|
231
|
-
y += contours[i][j][0][1]
|
|
232
|
-
|
|
233
|
-
|
|
234
|
-
|
|
235
|
-
x /= count
|
|
236
|
-
|
|
237
|
-
y /= count
|
|
238
|
-
|
|
239
|
-
x = int(x)
|
|
240
|
-
|
|
241
|
-
y = int(y)
|
|
242
|
-
|
|
243
|
-
ball_pos.append([x, y])
|
|
244
|
-
|
|
245
|
-
|
|
246
|
-
|
|
247
|
-
return ball_pos, img
|
|
248
|
-
|
|
249
|
-
|
|
250
|
-
|
|
251
|
-
|
|
252
|
-
|
|
253
|
-
def displayCircle(image, ballList, thickness=5):
|
|
254
|
-
|
|
255
|
-
for i in range(len(ballList)):
|
|
256
|
-
|
|
257
|
-
x = int(ballList[i][0])
|
|
258
|
-
|
|
259
|
-
y = int(ballList[i][1])
|
|
260
|
-
|
|
261
|
-
cv2.circle(image, (x, y), 10, (0, 0, 255), thickness)
|
|
262
|
-
|
|
263
|
-
return image
|
|
264
|
-
|
|
265
|
-
|
|
266
|
-
|
|
267
|
-
|
|
268
|
-
|
|
269
|
-
def resizeImage(image, w=2, h=2):
|
|
270
|
-
|
|
271
|
-
height = image.shape[0]
|
|
272
|
-
|
|
273
|
-
width = image.shape[1]
|
|
274
|
-
|
|
275
|
-
resizedImage = cv2.resize(image, (int(width / w), int(height / h)))
|
|
276
|
-
|
|
277
|
-
return resizedImage
|
|
278
|
-
|
|
279
|
-
|
|
280
|
-
|
|
281
|
-
|
|
282
|
-
|
|
283
|
-
def blackToColor(bImage):
|
|
284
|
-
|
|
285
|
-
colorImage = np.array((bImage, bImage, bImage))
|
|
286
|
-
|
|
287
|
-
colorImage = colorImage.transpose(1, 2, 0)
|
|
288
|
-
|
|
289
|
-
return colorImage
|
|
290
|
-
|
|
291
|
-
|
|
292
|
-
|
|
293
|
-
|
|
294
|
-
|
|
295
|
-
def run(input_video_path, output_video_path):
|
|
296
|
-
|
|
297
|
-
video = cv2.VideoCapture(input_video_path) # videoファイルを読み込む
|
|
298
|
-
|
|
299
|
-
# fourcc = cv2.VideoWriter_fourcc(*'MJPG')
|
|
300
|
-
|
|
301
|
-
fourcc = cv2.VideoWriter_fourcc(*'XVID')
|
|
302
|
-
|
|
303
|
-
|
|
304
|
-
|
|
305
|
-
if not video.isOpened(): # ファイルがオープンできない場合の処理.
|
|
306
|
-
|
|
307
|
-
print("Could not open video")
|
|
308
|
-
|
|
309
|
-
sys.exit()
|
|
310
|
-
|
|
311
|
-
|
|
312
|
-
|
|
313
|
-
vidw = video.get(cv2.CAP_PROP_FRAME_WIDTH)
|
|
314
|
-
|
|
315
|
-
vidh = video.get(cv2.CAP_PROP_FRAME_HEIGHT)
|
|
316
|
-
|
|
317
|
-
out = cv2.VideoWriter(output_video_path, fourcc, 20.0,
|
|
318
|
-
|
|
319
|
-
(int(vidw), int(vidh))) # 出力先のファイルを開く
|
|
320
|
-
|
|
321
|
-
|
|
322
|
-
|
|
323
|
-
ok, frame = video.read() # 最初のフレームを読み込む
|
|
324
|
-
|
|
325
|
-
if not ok:
|
|
326
|
-
|
|
327
|
-
print('Cannot read video file')
|
|
328
|
-
|
|
329
|
-
sys.exit()
|
|
330
|
-
|
|
331
|
-
|
|
332
|
-
|
|
333
|
-
frame_pre = frame.copy()
|
|
334
|
-
|
|
335
|
-
|
|
336
|
-
|
|
337
|
-
while True:
|
|
338
|
-
|
|
339
|
-
ok, frame = video.read() # フレームを読み込む
|
|
340
|
-
|
|
341
|
-
if not ok:
|
|
342
|
-
|
|
343
|
-
break
|
|
344
|
-
|
|
345
|
-
frame_next = frame.copy()
|
|
346
|
-
|
|
347
|
-
|
|
348
|
-
|
|
349
|
-
color_diff = cv2.absdiff(frame_next, frame_pre) # フレーム間の差分計算
|
|
350
|
-
|
|
351
|
-
gray_diff = cv2.cvtColor(color_diff, cv2.COLOR_BGR2GRAY) # グレースケール変換
|
|
352
|
-
|
|
353
|
-
retval, black_diff = cv2.threshold(
|
|
354
|
-
|
|
355
|
-
gray_diff, 30, 255, cv2.THRESH_BINARY)
|
|
356
|
-
|
|
357
|
-
|
|
358
|
-
|
|
359
|
-
ball, dilation_img = detect(gray_diff)
|
|
360
|
-
|
|
361
|
-
|
|
362
|
-
|
|
363
|
-
frame = displayCircle(frame, ball, 2) # 丸で加工
|
|
364
|
-
|
|
365
|
-
cImage = blackToColor(dilation_img) # 2値化画像をカラーの配列サイズと同じにする
|
|
366
|
-
|
|
367
|
-
im1 = resizeImage(frame, 2, 2)
|
|
368
|
-
|
|
369
|
-
im2 = resizeImage(cImage, 2, 2)
|
|
370
|
-
|
|
371
|
-
im_h = cv2.hconcat([im1, im2]) # 画像を横方向に連結
|
|
372
|
-
|
|
373
|
-
|
|
374
|
-
|
|
375
|
-
cv2.imshow("Tracking", im_h) # フレームを画面表示
|
|
376
|
-
|
|
377
|
-
out.write(im_h)
|
|
378
|
-
|
|
379
|
-
|
|
380
|
-
|
|
381
|
-
frame_pre = frame_next.copy() # 次のフレームの読み込み
|
|
382
|
-
|
|
383
|
-
|
|
384
|
-
|
|
385
|
-
k = cv2.waitKey(1) & 0xff # ESCを押したら中止
|
|
386
|
-
|
|
387
|
-
if k == 27:
|
|
388
|
-
|
|
389
|
-
break
|
|
390
|
-
|
|
391
|
-
|
|
392
|
-
|
|
393
|
-
video.release()
|
|
394
|
-
|
|
395
|
-
out.release()
|
|
396
|
-
|
|
397
|
-
cv2.destroyAllWindows()
|
|
398
|
-
|
|
399
|
-
|
|
400
|
-
|
|
401
|
-
|
|
402
|
-
|
|
403
|
-
if __name__ == '__main__':
|
|
404
|
-
|
|
405
|
-
inputFile="tennis.avi"
|
|
406
|
-
|
|
407
|
-
outputFile="output.mp4"
|
|
408
|
-
|
|
409
|
-
run(inputFile, outputFile)
|
|
410
|
-
|
|
411
|
-
```
|
|
412
|
-
|
|
413
|
-
### マウスで領域を選択（元のプログラム）
|
|
414
|
-
|
|
415
|
-
```Python
|
|
416
|
-
|
|
417
|
-
# -*- coding: utf-8 -*-
|
|
418
|
-
|
|
419
|
-
import numpy as np
|
|
420
|
-
|
|
421
|
-
import cv2
|
|
422
|
-
|
|
423
|
-
|
|
424
|
-
|
|
425
|
-
|
|
426
|
-
|
|
427
|
-
VIDEO_DATE = 'tennis.AVI'
|
|
428
|
-
|
|
429
|
-
WINDOW_NAME = "MouseEvent"
|
|
430
|
-
|
|
431
|
-
|
|
432
|
-
|
|
433
|
-
|
|
434
|
-
|
|
435
|
-
class PointList():
|
|
436
|
-
|
|
437
|
-
def __init__(self, npoints):
|
|
438
|
-
|
|
439
|
-
self.video = cv2.VideoCapture(VIDEO_DATE)
|
|
440
|
-
|
|
441
|
-
self.frame = None
|
|
442
|
-
|
|
443
|
-
self.npoints = npoints
|
|
444
|
-
|
|
445
|
-
self.ptlist = np.empty((npoints, 2), dtype=int)
|
|
446
|
-
|
|
447
|
-
self.pos = 0
|
|
448
|
-
|
|
449
|
-
cv2.setMouseCallback(WINDOW_NAME, self.onMouse)
|
|
450
|
-
|
|
451
|
-
|
|
452
|
-
|
|
453
|
-
def add(self, x, y):
|
|
454
|
-
|
|
455
|
-
if self.pos < self.npoints:
|
|
456
|
-
|
|
457
|
-
self.ptlist[self.pos, :] = [x, y]
|
|
458
|
-
|
|
459
|
-
self.pos += 1
|
|
460
|
-
|
|
461
|
-
return True
|
|
462
|
-
|
|
463
|
-
return False
|
|
464
|
-
|
|
465
|
-
|
|
466
|
-
|
|
467
|
-
def run(self):
|
|
468
|
-
|
|
469
|
-
while(self.video.isOpened()):
|
|
470
|
-
|
|
471
|
-
end_flag, self.frame = self.video.read()
|
|
472
|
-
|
|
473
|
-
if not end_flag: # EOF
|
|
474
|
-
|
|
475
|
-
break
|
|
476
|
-
|
|
477
|
-
if(self.pos == self.npoints):
|
|
478
|
-
|
|
479
|
-
# コメントアウト
|
|
480
|
-
|
|
481
|
-
#print(self.ptlist)
|
|
482
|
-
|
|
483
|
-
cv2.line(self.frame, (self.ptlist[0][0], self.ptlist[0][1]),
|
|
484
|
-
|
|
485
|
-
(self.ptlist[1][0], self.ptlist[1][1]), (0, 255, 0), 3)
|
|
486
|
-
|
|
487
|
-
cv2.line(self.frame, (self.ptlist[1][0], self.ptlist[1][1]),
|
|
488
|
-
|
|
489
|
-
(self.ptlist[2][0], self.ptlist[2][1]), (0, 255, 0), 3)
|
|
490
|
-
|
|
491
|
-
cv2.line(self.frame, (self.ptlist[2][0], self.ptlist[2][1]),
|
|
492
|
-
|
|
493
|
-
(self.ptlist[3][0], self.ptlist[3][1]), (0, 255, 0), 3)
|
|
494
|
-
|
|
495
|
-
cv2.line(self.frame, (self.ptlist[3][0], self.ptlist[3][1]),
|
|
496
|
-
|
|
497
|
-
(self.ptlist[0][0], self.ptlist[0][1]), (0, 255, 0), 3)
|
|
498
|
-
|
|
499
|
-
cv2.imshow(WINDOW_NAME, self.frame)
|
|
500
|
-
|
|
501
|
-
if cv2.waitKey(10) ==27: # Escキーで抜ける
|
|
502
|
-
|
|
503
|
-
break
|
|
504
|
-
|
|
505
|
-
|
|
506
|
-
|
|
507
|
-
def onMouse(self,event, x, y, flag, params):
|
|
508
|
-
|
|
509
|
-
if event == cv2.EVENT_MOUSEMOVE: # マウスが移動したときにx線とy線を更新する
|
|
510
|
-
|
|
511
|
-
self.frame2 = np.copy(self.frame)
|
|
512
|
-
|
|
513
|
-
h, w = self.frame2.shape[0], self.frame2.shape[1]
|
|
514
|
-
|
|
515
|
-
cv2.line(self.frame2, (x, 0), (x, h - 1), (255, 0, 0))
|
|
516
|
-
|
|
517
|
-
cv2.line(self.frame2, (0, y), (w - 1, y), (255, 0, 0))
|
|
518
|
-
|
|
519
|
-
cv2.imshow(WINDOW_NAME, self.frame2)
|
|
520
|
-
|
|
521
|
-
|
|
522
|
-
|
|
523
|
-
if event == cv2.EVENT_LBUTTONDOWN: # レフトボタンをクリックしたとき、ptlist配列にx,y座標を格納する
|
|
524
|
-
|
|
525
|
-
if self.add(x, y):
|
|
526
|
-
|
|
527
|
-
print('[%d] ( %d, %d )' % (ptlist.pos - 1, x, y))
|
|
528
|
-
|
|
529
|
-
cv2.circle(self.frame, (x, y), 3, (0, 0, 255), 3)
|
|
530
|
-
|
|
531
|
-
cv2.imshow(WINDOW_NAME, self.frame)
|
|
532
|
-
|
|
533
|
-
else:
|
|
534
|
-
|
|
535
|
-
print('All points have selected. Press ESC-key.')
|
|
536
|
-
|
|
537
|
-
|
|
538
|
-
|
|
539
|
-
|
|
540
|
-
|
|
541
|
-
if __name__ == '__main__':
|
|
542
|
-
|
|
543
|
-
cv2.namedWindow(WINDOW_NAME)
|
|
544
|
-
|
|
545
|
-
npoints = 4
|
|
546
|
-
|
|
547
|
-
ptlist = PointList(npoints)
|
|
548
|
-
|
|
549
|
-
ptlist.run()
|
|
550
|
-
|
|
551
|
-
cv2.destroyAllWindows()
|
|
552
|
-
|
|
553
|
-
```
|
|
554
|
-
|
|
555
|
-
### 参考サイト
|
|
556
|
-
|
|
557
|
-
https://qiita.com/otakoma/items/04216c60fa31eae60947
|
1
１つにまとめたプログラムの追記
test
CHANGED
|
File without changes
|
test
CHANGED
|
@@ -10,18 +10,154 @@
|
|
|
10
10
|
|
|
11
11
|
この２つのプログラムを組み合わせて、領域を選択してからボールの軌道を抽出するプログラムを作成したいです。
|
|
12
12
|
|
|
13
|
-
###
|
|
13
|
+
###実行結果
|
|
14
14
|
|
|
15
15
|
作成した２つのプログラムを１つにまとめたのですが、何も画面に表示されませんでした。
|
|
16
16
|
|
|
17
|
-
|
|
17
|
+
```Python
|
|
18
|
+
|
|
19
|
+
# -*- coding: utf-8 -*-
|
|
20
|
+
|
|
21
|
+
import numpy as np
|
|
22
|
+
|
|
23
|
+
import cv2
|
|
24
|
+
|
|
25
|
+
|
|
26
|
+
|
|
27
|
+
|
|
28
|
+
|
|
29
|
+
VIDEO_DATE = 'tennis.AVI'
|
|
30
|
+
|
|
31
|
+
WINDOW_NAME = "MouseEvent"
|
|
32
|
+
|
|
33
|
+
|
|
34
|
+
|
|
35
|
+
|
|
36
|
+
|
|
37
|
+
class PointList():
|
|
38
|
+
|
|
39
|
+
def __init__(self, npoints):
|
|
40
|
+
|
|
41
|
+
self.video = cv2.VideoCapture(VIDEO_DATE)
|
|
42
|
+
|
|
43
|
+
self.frame = None
|
|
44
|
+
|
|
45
|
+
self.npoints = npoints
|
|
46
|
+
|
|
47
|
+
self.ptlist = np.empty((npoints, 2), dtype=int)
|
|
48
|
+
|
|
49
|
+
self.pos = 0
|
|
50
|
+
|
|
51
|
+
cv2.setMouseCallback(WINDOW_NAME, self.onMouse)
|
|
52
|
+
|
|
53
|
+
|
|
54
|
+
|
|
55
|
+
def add(self, x, y):
|
|
56
|
+
|
|
57
|
+
if self.pos < self.npoints:
|
|
58
|
+
|
|
59
|
+
self.ptlist[self.pos, :] = [x, y]
|
|
60
|
+
|
|
61
|
+
self.pos += 1
|
|
62
|
+
|
|
63
|
+
return True
|
|
64
|
+
|
|
65
|
+
return False
|
|
66
|
+
|
|
67
|
+
|
|
68
|
+
|
|
69
|
+
def run(self):
|
|
70
|
+
|
|
71
|
+
while(self.video.isOpened()):
|
|
72
|
+
|
|
73
|
+
end_flag, self.frame = self.video.read()
|
|
74
|
+
|
|
75
|
+
if not end_flag: # EOF
|
|
76
|
+
|
|
77
|
+
break
|
|
78
|
+
|
|
79
|
+
if(self.pos == self.npoints):
|
|
80
|
+
|
|
81
|
+
# コメントアウト
|
|
82
|
+
|
|
83
|
+
#print(self.ptlist)
|
|
84
|
+
|
|
85
|
+
cv2.line(self.frame, (self.ptlist[0][0], self.ptlist[0][1]),
|
|
86
|
+
|
|
87
|
+
(self.ptlist[1][0], self.ptlist[1][1]), (0, 255, 0), 3)
|
|
88
|
+
|
|
89
|
+
cv2.line(self.frame, (self.ptlist[1][0], self.ptlist[1][1]),
|
|
90
|
+
|
|
91
|
+
(self.ptlist[2][0], self.ptlist[2][1]), (0, 255, 0), 3)
|
|
92
|
+
|
|
93
|
+
cv2.line(self.frame, (self.ptlist[2][0], self.ptlist[2][1]),
|
|
94
|
+
|
|
95
|
+
(self.ptlist[3][0], self.ptlist[3][1]), (0, 255, 0), 3)
|
|
96
|
+
|
|
97
|
+
cv2.line(self.frame, (self.ptlist[3][0], self.ptlist[3][1]),
|
|
98
|
+
|
|
99
|
+
(self.ptlist[0][0], self.ptlist[0][1]), (0, 255, 0), 3)
|
|
100
|
+
|
|
101
|
+
cv2.imshow(WINDOW_NAME, self.frame)
|
|
102
|
+
|
|
103
|
+
if cv2.waitKey(10) ==27: # Escキーで抜ける
|
|
104
|
+
|
|
105
|
+
break
|
|
106
|
+
|
|
107
|
+
|
|
108
|
+
|
|
109
|
+
def onMouse(self,event, x, y, flag, params):
|
|
110
|
+
|
|
111
|
+
if event == cv2.EVENT_MOUSEMOVE: # マウスが移動したときにx線とy線を更新する
|
|
112
|
+
|
|
113
|
+
self.frame2 = np.copy(self.frame)
|
|
114
|
+
|
|
115
|
+
h, w = self.frame2.shape[0], self.frame2.shape[1]
|
|
116
|
+
|
|
117
|
+
cv2.line(self.frame2, (x, 0), (x, h - 1), (255, 0, 0))
|
|
118
|
+
|
|
119
|
+
cv2.line(self.frame2, (0, y), (w - 1, y), (255, 0, 0))
|
|
120
|
+
|
|
121
|
+
cv2.imshow(WINDOW_NAME, self.frame2)
|
|
122
|
+
|
|
123
|
+
|
|
124
|
+
|
|
125
|
+
if event == cv2.EVENT_LBUTTONDOWN: # レフトボタンをクリックしたとき、ptlist配列にx,y座標を格納する
|
|
126
|
+
|
|
127
|
+
if self.add(x, y):
|
|
128
|
+
|
|
129
|
+
print('[%d] ( %d, %d )' % (ptlist.pos - 1, x, y))
|
|
130
|
+
|
|
131
|
+
cv2.circle(self.frame, (x, y), 3, (0, 0, 255), 3)
|
|
132
|
+
|
|
133
|
+
cv2.imshow(WINDOW_NAME, self.frame)
|
|
134
|
+
|
|
135
|
+
else:
|
|
136
|
+
|
|
137
|
+
print('All points have selected. Press ESC-key.')
|
|
138
|
+
|
|
139
|
+
|
|
140
|
+
|
|
141
|
+
|
|
142
|
+
|
|
143
|
+
if __name__ == '__main__':
|
|
144
|
+
|
|
145
|
+
cv2.namedWindow(WINDOW_NAME)
|
|
146
|
+
|
|
147
|
+
npoints = 4
|
|
148
|
+
|
|
149
|
+
ptlist = PointList(npoints)
|
|
150
|
+
|
|
151
|
+
ptlist.run()
|
|
152
|
+
|
|
153
|
+
cv2.destroyAllWindows()
|
|
154
|
+
|
|
155
|
+
```
|
|
18
156
|
|
|
19
157
|
|
|
20
158
|
|
|
21
159
|
### 質問内容
|
|
22
160
|
|
|
23
|
-
・なぜ、何も画面に表示されないのか？
|
|
24
|
-
|
|
25
161
|
・元の２つのプログラムを組み合わせるにはどうしたらいいか？
|
|
26
162
|
|
|
27
163
|
・テニスボールのバウンド位置を検出する方法は何かあるのか？
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