A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”
1.Run detector_pretest_net.py using pretrained model.
2.The final mAP is all zero.
3.There seems to be no problem when the model is loaded.
4.It seems that the scores of all bounding boxes in the model prediction results are extremely low, lower than 0.1.
wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
# For security purposes, please check the contents of collect_env.py before running it.
python collect_env.py
PyTorch Version (e.g., 1.0):
OS (e.g., Linux):
How you installed PyTorch (conda, pip, source):
Build command you used (if compiling from source):
🐛 Bug
To Reproduce
Steps to reproduce the behavior:
1.Run detector_pretest_net.py using pretrained model. 2.The final mAP is all zero. 3.There seems to be no problem when the model is loaded. 4.It seems that the scores of all bounding boxes in the model prediction results are extremely low, lower than 0.1.
Expected behavior
Environment
Please copy and paste the output from the environment collection script from PyTorch (or fill out the checklist below manually).
You can get the script and run it with:
conda,pip, source):Additional context