Comments (2)
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@chrisjuniorli Hello ,could you please tell me how to make RPN.pkl(own neg-chips) on my own dataset, thank you
from sniper.
Related Issues (20)
- The process of main_train.py never ends
- PyYAML yaml.load(input) Deprecation
- KeyError: 'conv_new_2_weight' HOT 1
- I have got lost in INSTALLATION HOT 1
- detection score is low HOT 3
- errors in INSTALLATION
- Changes required to run demo.py to detect all classes in openimages
- ImportError: lib/nms/gpu_nms.so: undefined symbol: __cudaPopCallConfiguration HOT 1
- Sniper HOT 1
- I got lost in the Installation. What is your configuration environment? such as the version of gcc, python, cuda, etc. HOT 2
- AssertionError: number of boxes matrix must match number of images. HOT 1
- COCO_train2017_rpn.pkl
- broken link to imagenet pretrained checkpoint HOT 1
- How to understand the resolution of pretrained dataset refered in snip paper?
- "soft" is missing in cvpr3k branch
- cannot download the pretrained model nor sniper model HOT 1
- error: ‘PyThreadState {aka struct _ts}’ has no member named ‘exc_type’; did you mean ‘curexc_type’? *type = tstate->exc_type;
- would the focus mask branch downgrade performance of original detector in single-scale training and inference
- inferences: value error HOT 1
- the download links were invalid HOT 1
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