BinhPQ2

I also have this problem and I don't know why, I have 500 images as training images but the len(train_loader) is only 8. Why is that?

You have to go to the 'CenterNet/src/lib/detectors/base_detector.py' file and replace `if opt.gpus[0] >= 0: opt.device = torch.device('cuda') else: opt.device = torch.device('cpu')` with `opt.device = torch.device('cpu')` only. Also delete (or uncomment)...

Try to `pip install lxml_html_clean ` It might do the trick. This worked for me

I got it to works just like instruction, I'm using CUDA 12.3: `set CMAKE_ARGS="-DLLAMA_CUBLAS=on" && set FORCE_CMAKE=1 && pip install --no-cache-dir llama-cpp-python==0.2.90 --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu123`