I wrote a series of blog posts which form a complete tutorial on how to train an object detector with custom data and how to optimize the model with TF-TRT (TensorRT), and then to deploy it onto Jetson TX2. More specifically, I shared the complete code for training a hand detector and for deploying the trained tensorflow model on JTX2. In the end, I demonstrated ~24 fps real-time hand detection with a live camera feed.
- TensorFlow/TensorRT Models on Jetson TX2: https://jkjung-avt.github.io/tf-trt-models/
- Training a Hand Detector with TensorFlow Object Detection APIhttps://jkjung-avt.github.io/hand-detection-tutorial/
- Adapting the Hand Detector Tutorial to Your Own Datahttps://jkjung-avt.github.io/object-detection-tutorial/
- Deploying the Hand Detector onto Jetson TX2: https://jkjung-avt.github.io/hand-detection-on-tx2/
I really tried my best to make the code simple and working well. If you find any issues or have any suggestions, feel free to leave a comment on my blog posts. Otherwise, if you find the posts helpful, I’d also appreciate you to comment and let me know.