No foreground is detected when testing

Hi @kbardool , Thanks for share this useful code. I train the model using command like this:

python3 train_frcnn.py -p /path/to/VOCDevkit

After training for 100 epochs, I test trained model on VOC images:

python3 test_frcnn.py -p ../VOCdevkit/VOC2012/JPEGImages

However, The output is like this:

2007_000121.jpg                                           
Elapsed time = 0.6811630725860596                               
[]                         

After debug, I find testing images are all treated as background, i.e., the network classify them to bg class. Can you tell me what should I do to further solve this problem? Thanks 😃

[vra]

Hi @Arham-Aalam, I finally figure out I got this exception because I changed default settings in keras_frcnn/config.py. When I reset the default settings and train after 100 epochs, I got output finally. Before that, only background is outputed. You can try to train more epochs and see if everything is okay. I have trained almost 1000 epochs and I plan to share the checkpoints in the future.

[vra]

I think there are some solution to your situation:

1. Use GPUs. You can buy a vps with GPUs on Google Cloud, AWS etc
2. Use CPUs, but with smaller input size, e.g., change 512x512 to 256x256
3. Use CPUs, but with less parameter settings, e.g., you can change to #num_ious to a smaller value thus it will be faster
4. Use CPUs, but use ConvNet Prune techniques to make a network smaller.

Solution 3 need more understanding of details of code in this project, Solution 4 need more knowledge about network pruning.

Since discussion going on here is no relations with original issue, so I will close this issue and any further disscussion should be opened in a new place.