RetinaNet_Tensorflow_Rotation
Focal Loss for Dense Rotation Object Detection
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Download Latest Version (.zip)- data_crop.py
- fddb.py
- txt2xml.py
- __init__.py
- make_test_xml.py
- split_data.py
- txt2xml.py
- __init__.py
- convert_data_to_tfrecord.py
- convert_data_to_tfrecord_HRSC2016.py
- image_preprocess.py
- image_preprocess_multi_gpu.py
- read_tfrecord.py
- read_tfrecord_multi_gpu.py
- README.md
- __init__.py
- __init__.py
- tools.py
- __init__.py
- bbox.c
- bbox.pyx
- Makefile
- nms.c
- nms.pyx
- setup.py
- __init__.py
- anchor_utils.py
- bbox_transform.py
- boxes_utils.py
- coordinate_convert.py
- draw_box_in_img.py
- generate_anchors.py
- generate_rotate_anchors.py
- iou.py
- iou_cpu.cpp
- iou_cpu.pyx
- iou_rotate.py
- nms_rotate.py
- rbbox_overlaps.cpp
- rbbox_overlaps.hpp
- rbbox_overlaps.pyx
- rbbox_overlaps_kernel.cu
- rotate_anchors.jpg
- rotate_gpu_nms.hpp
- rotate_polygon_nms.cpp
- rotate_polygon_nms.hpp
- rotate_polygon_nms.pyx
- rotate_polygon_nms_kernel.cu
- setup.py
- show_box_in_tensor.py
- tf_ops.py
- __init__.py
- cfgs_res101_dota_v9.py
- cfgs_res152_dota_v12.py
- cfgs_res50_dota_v1.py
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- cfgs_res50_dota_v6.py
- cfgs_res50_dota_v7.py
- cfgs_res50_dota_v8.py
- __init__.py
- cfgs.py
- __init__.py
- anchor_target_layer_without_boxweight.py
- proposal_opr.py
- proposal_opr_.py
- __init__.py
- coco_dict.py
- label_dict.py
- __init__.py
- losses.py
- __init__.py
- conv_blocks.py
- mobilenet.py
- mobilenet_v2.py
- mobilenet_v2_test.py
- README.md
- __init__.py
- alexnet.py
- alexnet_test.py
- cifarnet.py
- inception.py
- inception_resnet_v2.py
- inception_resnet_v2_test.py
- inception_utils.py
- inception_v1.py
- inception_v1_test.py
- inception_v2.py
- inception_v2_test.py
- inception_v3.py
- inception_v3_test.py
- inception_v4.py
- inception_v4_test.py
- lenet.py
- mobilenet_v1.md
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- mobilenet_v1_test.py
- nets_factory.py
- nets_factory_test.py
- overfeat.py
- overfeat_test.py
- resnet_utils.py
- resnet_v1.py
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- vgg.py
- vgg_test.py
- __init__.py
- build_whole_network.py
- mobilenet_v2.py
- opts.py
- resnet.py
- resnet_gluoncv.py
- xception.bak.py
- xception.py
- __init__.py
- voc_eval.py
- voc_eval_r.py
- __init__.py
- setup.py
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- __init__.py
- inference.py
- multi_gpu_train.py
- test_dota.py
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- LICENSE
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- scalars.png
# Installation Guide
1. Get the code
git clone https://github.com/DetectionTeamUCAS/RetinaNet_Tensorflow_Rotation
Downloads the entire project code from GitHub to your computer.
cd RetinaNet_Tensorflow_Rotation
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install .
Installs the package published on PyPI directly โ no need to clone the source.
python <์คํํ ํ์ผ๋ช
>.py # README์์ ์ ํํ ์คํ ํ์ผ๋ช
์ ํ์ธํ์ธ์
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
3. Make
MediumPrerequisites
- Git Needed to download the project code from GitHub.
- Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
โ ๏ธ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
cd libs/box_utils/cython_utils
This project's files live in a subfolder, so move into it first.
make
Compiles the code based on the generated build configuration to produce an executable.
If it finishes without errors, it worked. Try running the generated executable directly.
// repository documentation
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