質問編集履歴
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自分なりに進めていたら変更点があった
test
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test
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@@ -6,7 +6,19 @@
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このモデルと取得した手の関節のデータを使って[このサイト](https://blog.amedama.jp/entry/2018/05/08/033909)内の`学習済みモデルを復元する`に書かれているようなラベルの識別をリアルタイムでやってみたいと考えています。
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なので模様見まねでやってみたのですが
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なので模様見まねでやってみたのですがサイトの
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```
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>>> clf.predict([X_last])
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array([2])
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```
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ように文字が表示されません。
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これは識別が行えているのでしょうか？
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@@ -26,10 +38,16 @@
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from keras.models import load_model
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controller = Leap.Controller()
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date=np.arange(63,dtype = 'float64')#配列作成
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class frameframe():
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finger_names = ['Thumb', 'Index', 'Middle', 'Ring', 'Pinky']
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for hand in f.hands:
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self.arm = hand.arm
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direction = hand.direction
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if self.finger_names[finger.type] == 'Thumb':
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if self.bone_names[bone.type] == 'Metacarpal':
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if self.bone_names[bone.type] == 'Metacarpal':
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self.Thumb_meta_x=bone.direction.x
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self.Thumb_meta_y=bone.direction.y
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self.Thumb_meta_z=bone.direction.z
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if self.bone_names[bone.type] == 'Proximal':
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if self.bone_names[bone.type] == 'Proximal':
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self.Thumb_prox_x=bone.direction.x
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self.Thumb_prox_y=bone.direction.y
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self.Thumb_prox_z=bone.direction.z
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if self.bone_names[bone.type] == 'Intermediate':
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date.append(bone.direction.x)
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date.append(bone.direction.y)
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date.append(bone.direction.z)
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if self.bone_names[bone.type] == 'Distal':
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date.append(bone.direction.x)
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date.append(bone.direction.y)
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date.append(bone.direction.z)
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------------------------------省略-------------------------------------
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if self.bone_names[bone.type] == 'Intermediate':
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self.Pinky_inter_x=bone.direction.x
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self.Pinky_inter_y=bone.direction.y
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self.Pinky_inter_z=bone.direction.z
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if self.bone_names[bone.type] == 'Distal':
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self.Pinky_dist_x=bone.direction.x
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self.Pinky_dist_y=bone.direction.y
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self.Pinky_dist_z=bone.direction.z
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model = load_model("save_model.h5") # 学習済みモデルをロード
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if not f.hands.is_empty:#手をかざしているとき
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print("not hand")
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test.onframe()#関数を読んで手の関数のデータの取得を行う
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#取得したデータを配列に当てはめる
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date[0]=test.Index_dist_x
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date[1]=test.Index_dist_y
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date[2]=test.Index_dist_z
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date[3]=test.Index_inter_x
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------------------------------省略-------------------------------------
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date[60]=test.arm.direction.x
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date[61]=test.arm.direction.y
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date[62]=test.arm.direction.z
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date=date.reshape(1,63)#配列の形を整える
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model.predict([date])
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model.predict([date])#ラベルの識別
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date=np.arange(63,dtype = 'float64')#配列リセット
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```
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```
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実行結果
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---
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```
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Traceback (most recent call last):
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File "model.py", line 123, in <module>
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x, _, _ = self._standardize_user_data(x)
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File "C:\Users(ユーザー名)\anaconda3\envs\py37\lib\site-packages\keras\engine\training.py", line 579, in _standardize_user_data
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not hand
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not hand
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not hand
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```
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```
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