OICR-PyTorch
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CatOneTwo
Implementation of Multiple Instance Detection Network with Online Instance Classifier Refinement with PyTorch
Bumps [pillow](https://github.com/python-pillow/Pillow) from 7.1.0 to 9.3.0. Release notes Sourced from pillow's releases. 9.3.0 https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html Changes Initialize libtiff buffer when saving #6699 [@radarhere] Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [@wiredfool]...
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Bumps [joblib](https://github.com/joblib/joblib) from 0.11 to 1.2.0. Changelog Sourced from joblib's changelog. Release 1.2.0 Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported....
Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.12.3 to 3.18.3. Release notes Sourced from protobuf's releases. Protocol Buffers v3.18.3 C++ Reduce memory consumption of MessageSet parsing This release addresses a Security Advisory for C++...
The pre-trained VGG contains parameters of the two FCs after pooling. I want to know whether they are loaded before oicr training? If so, how is this VGG pre-trained? The...
Bumps [numpy](https://github.com/numpy/numpy) from 1.18.5 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
How did you evaluate results on VOC 2012? Evaluation server is still available for submission? I created a login and didn't do any submission so far. Also it shows that...
When I pip install -r requirements.txt, it shows that could not find a version that satisfies the requirement mkl-fft==1.1.0(from versions: 1.0.0.17, 1.0.2, 1.0.6)
Bumps [pyyaml](https://github.com/yaml/pyyaml) from 5.1 to 5.4. Changelog Sourced from pyyaml's changelog. 5.4 (2021-01-19) yaml/pyyaml#407 -- Build modernization, remove distutils, fix metadata, build wheels, CI to GHA yaml/pyyaml#472 -- Fix for...
It is weird that the mAP I got with your codes is about 37~38. I use the default setting. I also can not reproduce the results of https://github.com/luiszeni/Boosted-OICR.
Possible fix for 'RuntimeError: boxes should have 4 elements in dimension 1, got 5' in test_utils.py
When I ran 'test.py', I encountered an error which read `# RuntimeError: boxes should have 4 elements in dimension 1, got 5.` The problem was caused by the following line...
