停止在 Jupyter Notebook output 单元格中显示进度条，仅显示特定的 output

Question

输入单元格

cap = cv2.VideoCapture(0)
while cap.isOpened():
    ret, frame = cap.read()
    frame = frame[120:120+250,200:200+250, :]

    cv2.imshow('Verification', frame, )

    # Verification trigger
    if cv2.waitKey(10) & 0xFF == ord('v'):
        # Save input image to application_data/input_image folder 
        cv2.imwrite(os.path.join('app_data', 'input_image', 'input_image.jpg'), frame)
        # Run verification
        results, verified = verify(model, 0.9, 0.7)
        if verified == True:
            print('Verified')
        else:
            print('Not Verified')
 
        
    if cv2.waitKey(10) & 0xFF == ord('q'):
       break
    
cap.release()
cv2.destroyAllWindows()

我正在尝试在上面运行此单元格并仅打印“已验证”或“未验证”行，但在执行该单元格时 output 是这样的：

Output 电池

1/1 [==============================] - 0s 202ms/step
1/1 [==============================] - 0s 208ms/step
1/1 [==============================] - 0s 208ms/step
1/1 [==============================] - 0s 203ms/step
1/1 [==============================] - 0s 272ms/step
1/1 [==============================] - 0s 221ms/step
1/1 [==============================] - 0s 217ms/step
1/1 [==============================] - 0s 208ms/step
Not Verified

关于如何摆脱的任何建议：1/1 [===================] - 0s 244ms/step

并且只打印“已验证”或“未验证”的所需 output？

谢谢

验证 function：

def verify(model, detection_threshold, verification_threshold):
# Build results array
results = []
for image in os.listdir(os.path.join('application_data', 'verification_images')):
    input_img = preprocess(os.path.join('application_data', 'input_image', 'input_image.jpg'))
    validation_img = preprocess(os.path.join('application_data', 'verification_images', image))
    
    # Make Predictions 
    result = model.predict(list(np.expand_dims([input_img, validation_img], axis=1)))
    results.append(result)

# Detection Threshold: Metric above which a prediciton is considered positive 
detection = np.sum(np.array(results) > detection_threshold)

# Verification Threshold: Proportion of positive predictions / total positive samples 
verification = detection / len(os.listdir(os.path.join('application_data', 'verification_images'))) 
verified = verification > verification_threshold

return results, verified

Answer 1

如果您可以隔离产生所有嘈杂 output 的确切行或行，则可以使用io.capture_output 将其嵌套在 with 语句中，如此处所述，基本上捕获所有不需要的 Z78E6221F6393D1356681DB398 。

您必须将您的打印语句或“已验证”或“未验证”放在您放入with上下文中的任何内容之外。

无法说出它有多容易完成，因为您没有提供其他人可以轻松使用的最小可复制示例。 （您似乎设置了一些视频捕捉功能，我怀疑很多人都有。）

或者，您可以使用%%capture out单元格魔法，请参见此处和此处的底部，在主单元格中，然后在下面的第二个单元格中，从收集的out.stdout字符串中解析出验证/非验证行和显示那些。