detpro
No description available.
File Explorer
Download Latest Version (.zip)- coco_detection.py
- coco_detection_analysis.py
- coco_instance.py
- coco_instance_semantic.py
- deepfashion.py
- lvis_v0.5_instance.py
- lvis_v1_instance.py
- obj365_detection.py
- voc0712.py
- cascade_mask_rcnn_r50_fpn.py
- cascade_rcnn_r50_fpn.py
- fast_rcnn_r50_fpn.py
- faster_rcnn_r50_caffe_c4.py
- faster_rcnn_r50_caffe_dc5.py
- faster_rcnn_r50_fpn.py
- mask_rcnn_r50_caffe_c4.py
- mask_rcnn_r50_fpn.py
- retinanet_r50_fpn.py
- retinanet_r50_fpn_analysis.py
- rpn_r50_caffe_c4.py
- rpn_r50_fpn.py
- ssd300.py
- schedule_1x.py
- schedule_1x_cosine.py
- schedule_20e.py
- schedule_2x.py
- default_runtime.py
- cascade_mask_rcnn_r50_fpn_sample1e-3_mstrain_1x_lvis_v1_pretrain.py
- cascade_mask_rcnn_r50_fpn_sample1e-3_mstrain_1x_lvis_v1_pretrain_ens.py
- cascade_mask_rcnn_r50_fpn_sample1e-3_mstrain_20e_lvis_v1_pretrain_ens.py
- detpro_base.py
- detpro_collect.py
- detpro_ens.py
- detpro_ens_20e.py
- detpro_text_prompt.py
- mask_rcnn_r50_fpn_sample1e-3_mstrain_1x_lvis_v1.py
- mask_rcnn_r50_fpn_sample1e-3_mstrain_1x_lvis_v1_pretrain.py
- mask_rcnn_r50_fpn_sample1e-3_mstrain_1x_lvis_v1_pretrain_ens.py
- prompt_save_train.py
- prompt_save_train_reuse.py
- prompt_save_val.py
- faster_rcnn_r50_fpn_sample1e-3_mstrain_voc_pretrain.py
- mask_rcnn_r50_fpn_sample1e-3_mstrain_coco_pretrain.py
- mask_rcnn_r50_fpn_sample1e-3_mstrain_objects365_pretrain.py
- transfer_coco.py
- transfer_objects365.py
- transfer_voc.py
- __init__.py
- inference.py
- test.py
- test_analysis.py
- train.py
- train_iter.py
- __init__.py
- anchor_generator.py
- builder.py
- point_generator.py
- utils.py
- __init__.py
- approx_max_iou_assigner.py
- assign_result.py
- atss_assigner.py
- base_assigner.py
- center_region_assigner.py
- grid_assigner.py
- hungarian_assigner.py
- max_iou_assigner.py
- point_assigner.py
- region_assigner.py
- __init__.py
- base_bbox_coder.py
- bucketing_bbox_coder.py
- delta_xywh_bbox_coder.py
- delta_xywh_bbox_coder1.py
- legacy_delta_xywh_bbox_coder.py
- pseudo_bbox_coder.py
- tblr_bbox_coder.py
- yolo_bbox_coder.py
- __init__.py
- builder.py
- iou2d_calculator.py
- __init__.py
- builder.py
- match_cost.py
- __init__.py
- base_sampler.py
- combined_sampler.py
- instance_balanced_pos_sampler.py
- iou_balanced_neg_sampler.py
- ohem_sampler.py
- pseudo_sampler.py
- random_sampler.py
- sampling_result.py
- score_hlr_sampler.py
- __init__.py
- builder.py
- demodata.py
- transforms.py
- __init__.py
- bbox_overlaps.py
- class_names.py
- eval_hooks.py
- mean_ap.py
- recall.py
- __init__.py
- pytorch2onnx.py
- __init__.py
- deprecated_fp16_utils.py
- __init__.py
- mask_target.py
- structures.py
- utils.py
- __init__.py
- bbox_nms.py
- merge_augs.py
- __init__.py
- dist_utils.py
- misc.py
- __init__.py
- __init__.py
- auto_augment.py
- compose.py
- formating.py
- instaboost.py
- loading copy.py
- loading.py
- test_time_aug.py
- transforms.py
- zip.py
- __init__.py
- distributed_sampler.py
- group_sampler.py
- __init__.py
- builder.py
- cityscapes.py
- coco.py
- custom.py
- dataset_wrappers.py
- deepfashion.py
- lvis.py
- objects365.py
- utils.py
- voc.py
- wider_face.py
- xml_style.py
- __init__.py
- darknet.py
- detectors_resnet.py
- detectors_resnext.py
- hourglass.py
- hrnet.py
- regnet.py
- res2net.py
- resnest.py
- resnet.py
- resnext.py
- ssd_vgg.py
- trident_resnet.py
- __init__.py
- anchor_free_head.py
- anchor_free_head_analysis.py
- anchor_head.py
- anchor_head_analysis.py
- atss_head.py
- base_dense_head.py
- base_dense_head_analysis.py
- cascade_rpn_head.py
- centripetal_head.py
- corner_head.py
- dense_test_mixins.py
- fcos_head.py
- fcos_head_analysis.py
- fovea_head.py
- free_anchor_retina_head.py
- fsaf_head.py
- ga_retina_head.py
- ga_rpn_head.py
- gfl_head.py
- guided_anchor_head.py
- nasfcos_head.py
- paa_head.py
- pisa_retinanet_head.py
- pisa_ssd_head.py
- reppoints_head.py
- retina_head.py
- retina_head_analysis.py
- retina_sepbn_head.py
- rpn_head.py
- rpn_test_mixin.py
- sabl_retina_head.py
- ssd_head.py
- transformer_head.py
- vfnet_head.py
- yolact_head.py
- yolo_head.py
- __init__.py
- atss.py
- base.py
- base_analysis.py
- cascade_rcnn.py
- cornernet.py
- detr.py
- fast_rcnn.py
- faster_rcnn.py
- faster_rcnn1.py
- fcos.py
- fcos_analysis.py
- fovea.py
- fsaf.py
- gfl.py
- grid_rcnn.py
- htc.py
- mask_rcnn.py
- mask_scoring_rcnn.py
- nasfcos.py
- paa.py
- point_rend.py
- reppoints_detector.py
- retinanet.py
- retinanet_analysis.py
- rpn.py
- rpn_head_only.py
- single_stage.py
- single_stage_analysis.py
- trident_faster_rcnn.py
- two_stage.py
- vfnet.py
- yolact.py
- yolo.py
- __init__.py
- accuracy.py
- ae_loss.py
- balanced_l1_loss.py
- cross_entropy_loss.py
- focal_loss.py
- gaussian_focal_loss.py
- gfocal_loss.py
- ghm_loss.py
- iou_loss.py
- mse_loss.py
- pisa_loss.py
- smooth_l1_loss.py
- utils.py
- varifocal_loss.py
- __init__.py
- bfp.py
- channel_mapper.py
- fpn.py
- fpn_analysis.py
- fpn_carafe.py
- hrfpn.py
- nas_fpn.py
- nasfcos_fpn.py
- pafpn.py
- rfp.py
- yolo_neck.py
- __init__.py
- bbox_head.py
- convfc_bbox_head.py
- double_bbox_head.py
- sabl_head.py
- __init__.py
- coarse_mask_head.py
- fcn_mask_head.py
- fused_semantic_head.py
- grid_head.py
- htc_mask_head.py
- mask_point_head.py
- maskiou_head.py
- __init__.py
- base_roi_extractor.py
- generic_roi_extractor.py
- single_level_roi_extractor.py
- __init__.py
- res_layer.py
- __init__.py
- base_roi_head.py
- cascade_roi_head.py
- class_name.py
- standard_roi_head.py
- standard_roi_head_collect.py
- standard_roi_head_collect_reuse.py
- standard_roi_head_prompt.py
- standard_roi_head_save_proposal.py
- standard_roi_head_text.py
- standard_roi_head_text_prompt.py
- test_mixins.py
- visualize.py
- zip.py
- __init__.py
- builder.py
- gaussian_target.py
- positional_encoding.py
- res_layer.py
- transformer.py
- __init__.py
- builder.py
- __init__.py
- collect_env.py
- contextmanagers.py
- logger.py
- profiling.py
- util_mixins.py
- __init__.py
- version.py
- backup_coop_mini.py
- backup_run.py
- classname.py
- config.py
- coop_mini.py
- gather.py
- gen_cls_embedding.py
- lr_scheduler.py
- run.py
- sim.py
- test.py
- trainer.py
- build.txt
- docs.txt
- optional.txt
- readthedocs.txt
- runtime.txt
- tests.txt
- cityscapes.py
- pascal_voc.py
- analysis_differ.py
- analysis_test.sh
- analysis_test_fcos.sh
- analysis_test_fcos_scale2.sh
- analysis_test_fcos_scale2_train.sh
- analysis_test_fcos_train.sh
- analysis_test_scale2.sh
- analysis_test_scale2_train.sh
- analysis_test_train.sh
- analysis_visualize.py
- analyze_logs.py
- benchmark.py
- browse_dataset.py
- coco_error_analysis.py
- dist_test.sh
- dist_train.sh
- eval_metric.py
- get_flops.py
- print_config.py
- publish_model.py
- pytorch2onnx.py
- regnet2mmdet.py
- robustness_eval.py
- save_load_base_test.sh
- slurm_test.sh
- slurm_train.sh
- test.py
- test_analysis.py
- test_robustness.py
- train.py
- upgrade_model_version.py
- .gitignore
- __init__.py
- detpro.sh
- install.sh
- LICENSE
- prepare.sh
- pytest.ini
- README.md
- requirements.txt
- setup.cfg
- setup.py
- test.sh
- transfer.sh
- vild_detpro.sh
# Installation Guide
1. Get the code
git clone https://github.com/dyabel/detpro
Downloads the entire project code from GitHub to your computer.
cd detpro
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install git+https://github.com/openai/CLIP.git
Installs the package published on PyPI directly β no need to clone the source.
pip install mmpycocotools
Installs the package published on PyPI directly β no need to clone the source.
pip install git+https://github.com/lvis-dataset/lvis-api.git
Installs the package published on PyPI directly β no need to clone the source.
pip install mmcv-full==1.2.5 -f https://download.openmmlab.com/mmcv/dist/cu110/torch1.7.0/index.html
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Python
EasyPrerequisites
pip install -r requirements/build.txt
Installs the Python libraries listed in requirements.txt (or similar).
pip install -e .
Installs the Python libraries listed in requirements.txt (or similar).
pip install git+https://github.com/openai/CLIP.git
Installs the package published on PyPI directly β no need to clone the source.
pip uninstall pycocotools -y
Type this command into your terminal and run it.
pip uninstall mmpycocotools -y
Type this command into your terminal and run it.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
Was this content helpful?
(0 ratings)