Closed AliWaheed closed 4 years ago
For the best efficiency, it is recommended to use jpeg images. The reason is that TensorFlow supports directly reading jpeg images from the file system.
To your question, one choice is to convert NumPy files to jpeg images, then run the tracking script. Nevertheless, it is also possible to use Numpy files with some modifications.
Thank you for such quick reply. I will check it out and report back
Hi, I would like to run "run_tracking.py" on Numpy files rather than passing the list of ".jpgs" I followed the inference session and saw that you are providing jpg list right to your model for inference. Can you please guide a bit on how can I run inference on Numpy images.