Update repo #9
Open
Update repo #9
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Update INSTALL.md
Add ISSUE_TEMPLATE for Github
Fix a small typo
It is simpler and requires less effort (i.e. no auth) compared to SSH
Access repos via https in INSTALL.md
* Add missing __init__.py files * Add packages * Rename logging.py to logger.py Import rules from Python2 makes this a bad idea * Make import_file py2 compatible * list does not have .copy() in py2 * math.log2 does not exist in py2 * Miscellaneous fixes for py2 * Address comments
Fix BoxList constructor call in README.md
Replace baseline with benchmark
Replace BoxList argument size with image_size.
use cuda version torch.randperm to avoid copy from gpu to cpu and a fatal bug in multi-thread cpu version
* quick fix for area * Update bounding_box.py
## Bug When I repeatedly invoke build_detection_model function to build the model, I will get the error: `AttributeError: 'ResNet' object has no attribute 'layer1'`. ## To Reproduce ``` model = build_detection_model(cfg) model = build_detection_model(cfg) ``` ## The reason The variable `ResNet50StagesTo4` is a global generator expression, so when we build the model secondly, the code executes to Line 82 `for stage_spec in stage_specs:` and `stage_specs` will return empty leading to do not add any stage. Finally, `self._freeze_backbone` try to freeze the backbone by executing `m = getattr(self, "layer" + str(stage_index))` firstly. At the moment, it will throw the AttributeError `AttributeError: 'ResNet' object has no attribute 'layer1'`. I guess you want to define ResNet50StagesTo4 as the tuple, so I try to fix by add tuple type qualifier. ## The solution Add the tuple type to `ResNet50StagesTo5`, `ResNet50StagesTo4`, `ResNet50FPNStagesTo5`, `ResNet101FPNStagesTo5`. I do not know whether there are similar bug existing, so you need to review my solution. Thank you!
* added Dockerfile * intructions for installation with docker * adds nccl to dockerfile * Update Dockerfile * Update INSTALL.md
* adding registry to hook custom building blocks * adding customizable rpn head * support customizable c2 weight loading
…gamma_alpha gamma, alpha are supposed to be floats, delete lines with [0] subscripts #1013
Need this)
fix minor typos
install local pip with conda
Update INSTALL.md
Add uncompressed rle condition in Binarymask
Update predictor.py
remove redundant reshape of box_regression
Update lr scheduling to pytorch 1.1.0
Validation during training (version 2)
…r is deprecated in pytorch v1.2.0
replacing dtype torch.uint8 with torch.bool for indexing in pytorch 1.2.0
Add native CityScapes evaluation tool
Extend COCO evaluation for AbstractDataset
bugfix: use correct config for tta and device handling during inference
Add native CityScapes dataset
Move horizontal flip probability to config
add the MULAN project in readme.MD, "Projects using maskrcnn-benchmark"
Thanks for your excellent work! @fmassa Based on this repository, we research on the object detectors without sampling heuristics (e.g., Focal Loss, GHM, Undersampling). The paper (https://arxiv.org/abs/1909.04868) and code (https://github.com/ChenJoya/sampling-free) have been released. Thank you again for maskrcnn-benchmark. It is a really simple, efficient, high performance object detection benchmark.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.