TFLite Mobile Generic Object Localizer
Python TFLite scripts for detecting objects of any class in an image without knowing their label.
Image taken from the OpenCV AI Kit - Lite, make sure to check it out: https://www.kickstarter.com/projects/opencv/opencv-ai-kit-oak-depth-camera-4k-cv-edge-object-detection
❗ ⚠️ The object detector works better with images with few objects and it starts to fail in more complex scenes. The model is suitable for automatically labelling objects for custom object detection models.
Requirements
- OpenCV, imread-from-url and tensorflow or tflite_runtime. Also, pafy and youtube-dl are required for youtube video inference.
Installation
pip install -r requirements.txt
pip install pafy youtube-dl
For the tflite runtime, you can either use tensorflow(make sure it is version 2.6.0 or above) pip install tensorflow==2.6.0 or the TensorFlow Runtime binary
tflite model
The original models was taken from Tensorflow Hub, download it, and place it in the models folder.
Use the following script to download the model:
python download_model.py
Tensorflow inference
Use this other repository for detecting object in Tensorflow (recommended for computer with GPU): https://github.com/ibaiGorordo/Tensorflow-Mobile-Generic-Object-Localizer
Examples
- Image inference:
python imageObjectDetection.py
- Webcam inference:
python webcamObjectDetection.py
- Video inference:
python videoObjectDetection.py
Inference Examples
Original video by Animist: https://youtu.be/uKyoV0uG9rQ
Cabybara detection
Original image: https://commons.wikimedia.org/wiki/File:Capybara_portrait.jpg
Coin detection
Original image: https://commons.wikimedia.org/wiki/File:Japanese_Coins.jpg
Shoe detection
Original image: https://commons.wikimedia.org/wiki/File:Japanese_Coins.jpg
Spaceship detection
Original image: https://en.wikipedia.org/wiki/Spacecraft#/media/File:SpaceX_Crew_Dragon_(More_cropped).jpg
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Window detection
Original image: https://commons.wikimedia.org/wiki/File:Window_-_Paddington_-_London.JPG
