How to use Hand detection script

To detect, crop and save hands from the original data, we need the following:

1. Master branch
2. Dvc data

Directory structure should look like

• xray
  • TensorFlow
  • data
    • train
      • XR_HAND
  • src
    • features
      • hand_detection

1. cd into /src/features/hand_detection
2. Change the following as per your desires:

• PATH_TO_TEST_IMAGES_DIR = '../../../train/XR_HAND_CROPPED'
• SAVE_PATH = r'../../../train/XR_HAND_CENTRED_NEW'

3. Now you can run the script using python3 detect_and_save_hands.py
4. It will save the detected hands in the save_path.
5. Possible errors that may occur:

• No model found: mainly due to dvc pull issue
• Protobuf issue: Check this
• object detection util not found issue: this line should be above that import statement. os.chdir(r'../../../data/TensorFlow/workspace/training_demo/')