aaiela
No description available.
파일 탐색기
최종 버전 다운로드 (.zip)- aaiela.yaml
- v1-inpainting-inference.yaml
- action.yml
- action.yml
- action.yml
- action.yml
- action.yml
- action.yml
- action.yml
- action.yml
- bugs.md
- config.yml
- documentation.md
- feature-request.md
- unexpected-problems-bugs.md
- check-template.yml
- levenshtein.js
- needs-reply.yml
- remove-needs-reply.yml
- workflow.yml
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- Detectron2-Logo-Horz.svg
- import-tests.sh
- ISSUE_TEMPLATE.md
- pull_request_template.md
- mask_rcnn_R_50_FPN.yaml
- fast_rcnn_R_50_FPN_1x.yaml
- faster_rcnn_R_101_C4_3x.yaml
- faster_rcnn_R_101_DC5_3x.yaml
- faster_rcnn_R_101_FPN_3x.yaml
- faster_rcnn_R_50_C4_1x.yaml
- faster_rcnn_R_50_C4_3x.yaml
- faster_rcnn_R_50_DC5_1x.yaml
- faster_rcnn_R_50_DC5_3x.yaml
- faster_rcnn_R_50_FPN_1x.yaml
- faster_rcnn_R_50_FPN_3x.yaml
- faster_rcnn_X_101_32x8d_FPN_3x.yaml
- fcos_R_50_FPN_1x.py
- retinanet_R_101_FPN_3x.yaml
- retinanet_R_50_FPN_1x.py
- retinanet_R_50_FPN_1x.yaml
- retinanet_R_50_FPN_3x.yaml
- rpn_R_50_C4_1x.yaml
- rpn_R_50_FPN_1x.yaml
- mask_rcnn_R_101_C4_3x.yaml
- mask_rcnn_R_101_DC5_3x.yaml
- mask_rcnn_R_101_FPN_3x.yaml
- mask_rcnn_R_50_C4_1x.py
- mask_rcnn_R_50_C4_1x.yaml
- mask_rcnn_R_50_C4_3x.yaml
- mask_rcnn_R_50_DC5_1x.yaml
- mask_rcnn_R_50_DC5_3x.yaml
- mask_rcnn_R_50_FPN_1x.py
- mask_rcnn_R_50_FPN_1x.yaml
- mask_rcnn_R_50_FPN_1x_giou.yaml
- mask_rcnn_R_50_FPN_3x.yaml
- mask_rcnn_regnetx_4gf_dds_fpn_1x.py
- mask_rcnn_regnety_4gf_dds_fpn_1x.py
- mask_rcnn_X_101_32x8d_FPN_3x.yaml
- Base-Keypoint-RCNN-FPN.yaml
- keypoint_rcnn_R_101_FPN_3x.yaml
- keypoint_rcnn_R_50_FPN_1x.py
- keypoint_rcnn_R_50_FPN_1x.yaml
- keypoint_rcnn_R_50_FPN_3x.yaml
- keypoint_rcnn_X_101_32x8d_FPN_3x.yaml
- Base-Panoptic-FPN.yaml
- panoptic_fpn_R_101_3x.yaml
- panoptic_fpn_R_50_1x.py
- panoptic_fpn_R_50_1x.yaml
- panoptic_fpn_R_50_3x.yaml
- coco.py
- coco_keypoint.py
- coco_panoptic_separated.py
- constants.py
- cascade_rcnn.py
- fcos.py
- keypoint_rcnn_fpn.py
- mask_rcnn_c4.py
- mask_rcnn_fpn.py
- mask_rcnn_vitdet.py
- panoptic_fpn.py
- retinanet.py
- coco_schedule.py
- optim.py
- README.md
- train.py
- faster_rcnn_R_50_FPN_noaug_1x.yaml
- keypoint_rcnn_R_50_FPN_1x.yaml
- mask_rcnn_R_50_FPN_noaug_1x.yaml
- README.md
- mask_rcnn_R_101_FPN_1x.yaml
- mask_rcnn_R_50_FPN_1x.yaml
- mask_rcnn_X_101_32x8d_FPN_1x.yaml
- mask_rcnn_R_101_FPN_1x.yaml
- mask_rcnn_R_50_FPN_1x.yaml
- mask_rcnn_X_101_32x8d_FPN_1x.yaml
- cascade_mask_rcnn_R_50_FPN_1x.yaml
- cascade_mask_rcnn_R_50_FPN_3x.yaml
- cascade_mask_rcnn_X_152_32x8d_FPN_IN5k_gn_dconv.yaml
- mask_rcnn_R_50_FPN_1x_cls_agnostic.yaml
- mask_rcnn_R_50_FPN_1x_dconv_c3-c5.yaml
- mask_rcnn_R_50_FPN_3x_dconv_c3-c5.yaml
- mask_rcnn_R_50_FPN_3x_gn.yaml
- mask_rcnn_R_50_FPN_3x_syncbn.yaml
- mmdet_mask_rcnn_R_50_FPN_1x.py
- panoptic_fpn_R_101_dconv_cascade_gn_3x.yaml
- scratch_mask_rcnn_R_50_FPN_3x_gn.yaml
- scratch_mask_rcnn_R_50_FPN_9x_gn.yaml
- scratch_mask_rcnn_R_50_FPN_9x_syncbn.yaml
- semantic_R_50_FPN_1x.yaml
- torchvision_imagenet_R_50.py
- mask_rcnn_R_101_FPN_100ep_LSJ.py
- mask_rcnn_R_101_FPN_200ep_LSJ.py
- mask_rcnn_R_101_FPN_400ep_LSJ.py
- mask_rcnn_R_50_FPN_100ep_LSJ.py
- mask_rcnn_R_50_FPN_200ep_LSJ.py
- mask_rcnn_R_50_FPN_400ep_LSJ.py
- mask_rcnn_R_50_FPN_50ep_LSJ.py
- mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ.py
- mask_rcnn_regnetx_4gf_dds_FPN_200ep_LSJ.py
- mask_rcnn_regnetx_4gf_dds_FPN_400ep_LSJ.py
- mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ.py
- mask_rcnn_regnety_4gf_dds_FPN_200ep_LSJ.py
- mask_rcnn_regnety_4gf_dds_FPN_400ep_LSJ.py
- faster_rcnn_R_50_C4.yaml
- faster_rcnn_R_50_FPN.yaml
- cascade_mask_rcnn_R_50_FPN_inference_acc_test.yaml
- cascade_mask_rcnn_R_50_FPN_instant_test.yaml
- fast_rcnn_R_50_FPN_inference_acc_test.yaml
- fast_rcnn_R_50_FPN_instant_test.yaml
- keypoint_rcnn_R_50_FPN_inference_acc_test.yaml
- keypoint_rcnn_R_50_FPN_instant_test.yaml
- keypoint_rcnn_R_50_FPN_normalized_training_acc_test.yaml
- keypoint_rcnn_R_50_FPN_training_acc_test.yaml
- mask_rcnn_R_50_C4_GCV_instant_test.yaml
- mask_rcnn_R_50_C4_inference_acc_test.yaml
- mask_rcnn_R_50_C4_instant_test.yaml
- mask_rcnn_R_50_C4_training_acc_test.yaml
- mask_rcnn_R_50_DC5_inference_acc_test.yaml
- mask_rcnn_R_50_FPN_inference_acc_test.yaml
- mask_rcnn_R_50_FPN_instant_test.yaml
- mask_rcnn_R_50_FPN_pred_boxes_training_acc_test.yaml
- mask_rcnn_R_50_FPN_training_acc_test.yaml
- panoptic_fpn_R_50_inference_acc_test.yaml
- panoptic_fpn_R_50_instant_test.yaml
- panoptic_fpn_R_50_training_acc_test.yaml
- README.md
- retinanet_R_50_FPN_inference_acc_test.yaml
- retinanet_R_50_FPN_instant_test.yaml
- rpn_R_50_FPN_inference_acc_test.yaml
- rpn_R_50_FPN_instant_test.yaml
- semantic_R_50_FPN_inference_acc_test.yaml
- semantic_R_50_FPN_instant_test.yaml
- semantic_R_50_FPN_training_acc_test.yaml
- Base-RCNN-C4.yaml
- Base-RCNN-DilatedC5.yaml
- Base-RCNN-FPN.yaml
- Base-RetinaNet.yaml
- prepare_ade20k_sem_seg.py
- prepare_cocofied_lvis.py
- prepare_for_tests.sh
- prepare_panoptic_fpn.py
- README.md
- demo.py
- predictor.py
- README.md
- __init__.py
- c2_model_loading.py
- catalog.py
- detection_checkpoint.py
- __init__.py
- compat.py
- config.py
- defaults.py
- instantiate.py
- lazy.py
- __init__.py
- builtin.py
- builtin_meta.py
- cityscapes.py
- cityscapes_panoptic.py
- coco.py
- coco_panoptic.py
- lvis.py
- lvis_v0_5_categories.py
- lvis_v1_categories.py
- lvis_v1_category_image_count.py
- pascal_voc.py
- README.md
- register_coco.py
- __init__.py
- distributed_sampler.py
- grouped_batch_sampler.py
- __init__.py
- augmentation.py
- augmentation_impl.py
- transform.py
- __init__.py
- benchmark.py
- build.py
- catalog.py
- common.py
- dataset_mapper.py
- detection_utils.py
- __init__.py
- defaults.py
- hooks.py
- launch.py
- train_loop.py
- __init__.py
- cityscapes_evaluation.py
- coco_evaluation.py
- evaluator.py
- fast_eval_api.py
- lvis_evaluation.py
- panoptic_evaluation.py
- pascal_voc_evaluation.py
- rotated_coco_evaluation.py
- sem_seg_evaluation.py
- testing.py
- __init__.py
- api.py
- c10.py
- caffe2_export.py
- caffe2_inference.py
- caffe2_modeling.py
- caffe2_patch.py
- flatten.py
- README.md
- shared.py
- torchscript.py
- torchscript_patch.py
- box_iou_rotated.h
- box_iou_rotated_cpu.cpp
- box_iou_rotated_cuda.cu
- box_iou_rotated_utils.h
- cocoeval.cpp
- cocoeval.h
- deform_conv.h
- deform_conv_cuda.cu
- deform_conv_cuda_kernel.cu
- nms_rotated.h
- nms_rotated_cpu.cpp
- nms_rotated_cuda.cu
- ROIAlignRotated.h
- ROIAlignRotated_cpu.cpp
- ROIAlignRotated_cuda.cu
- cuda_version.cu
- README.md
- vision.cpp
- __init__.py
- aspp.py
- batch_norm.py
- blocks.py
- deform_conv.py
- losses.py
- mask_ops.py
- nms.py
- roi_align.py
- roi_align_rotated.py
- rotated_boxes.py
- shape_spec.py
- wrappers.py
- __init__.py
- model_zoo.py
- __init__.py
- backbone.py
- build.py
- fpn.py
- mvit.py
- regnet.py
- resnet.py
- swin.py
- utils.py
- vit.py
- __init__.py
- build.py
- dense_detector.py
- fcos.py
- panoptic_fpn.py
- rcnn.py
- retinanet.py
- semantic_seg.py
- __init__.py
- build.py
- proposal_utils.py
- rpn.py
- rrpn.py
- __init__.py
- box_head.py
- cascade_rcnn.py
- fast_rcnn.py
- keypoint_head.py
- mask_head.py
- roi_heads.py
- rotated_fast_rcnn.py
- __init__.py
- anchor_generator.py
- box_regression.py
- matcher.py
- mmdet_wrapper.py
- poolers.py
- postprocessing.py
- sampling.py
- test_time_augmentation.py
- __init__.py
- README.md
- __init__.py
- build.py
- lr_scheduler.py
- __init__.py
- boxes.py
- image_list.py
- instances.py
- keypoints.py
- masks.py
- rotated_boxes.py
- __init__.py
- base_tracker.py
- bbox_iou_tracker.py
- hungarian_tracker.py
- iou_weighted_hungarian_bbox_iou_tracker.py
- utils.py
- vanilla_hungarian_bbox_iou_tracker.py
- __init__.py
- analysis.py
- collect_env.py
- colormap.py
- comm.py
- develop.py
- env.py
- events.py
- file_io.py
- logger.py
- memory.py
- README.md
- registry.py
- serialize.py
- testing.py
- tracing.py
- video_visualizer.py
- visualizer.py
- __init__.py
- build_all_wheels.sh
- build_wheel.sh
- gen_install_table.py
- gen_wheel_index.sh
- pkg_helpers.bash
- README.md
- linter.sh
- parse_results.sh
- README.md
- run_inference_tests.sh
- run_instant_tests.sh
- deploy.Dockerfile
- docker-compose.yml
- Dockerfile
- README.md
- custom.css
- checkpoint.rst
- config.rst
- data.rst
- data_transforms.rst
- engine.rst
- evaluation.rst
- export.rst
- fvcore.rst
- index.rst
- layers.rst
- model_zoo.rst
- modeling.rst
- solver.rst
- structures.rst
- utils.rst
- benchmarks.md
- changelog.md
- compatibility.md
- contributing.md
- index.rst
- augmentation.md
- builtin_datasets.md
- configs.md
- data_loading.md
- datasets.md
- deployment.md
- evaluation.md
- extend.md
- getting_started.md
- index.rst
- install.md
- lazyconfigs.md
- models.md
- README.md
- training.md
- write-models.md
- .gitignore
- conf.py
- index.rst
- Makefile
- README.md
- requirements.txt
- Base-DeepLabV3-OS16-Semantic.yaml
- deeplab_v3_plus_R_103_os16_mg124_poly_90k_bs16.yaml
- deeplab_v3_R_103_os16_mg124_poly_90k_bs16.yaml
- __init__.py
- build_solver.py
- config.py
- loss.py
- lr_scheduler.py
- resnet.py
- semantic_seg.py
- README.md
- train_net.py
- Base-DensePose-RCNN-FPN-Human.yaml
- Base-DensePose-RCNN-FPN.yaml
- densepose_rcnn_R_101_FPN_DL_s1x.yaml
- densepose_rcnn_R_101_FPN_DL_soft_s1x.yaml
- densepose_rcnn_R_101_FPN_s1x.yaml
- densepose_rcnn_R_101_FPN_soft_s1x.yaml
- densepose_rcnn_R_50_FPN_DL_s1x.yaml
- densepose_rcnn_R_50_FPN_DL_soft_s1x.yaml
- densepose_rcnn_R_50_FPN_s1x.yaml
- densepose_rcnn_R_50_FPN_soft_animals_CA_finetune_16k.yaml
- densepose_rcnn_R_50_FPN_soft_animals_CA_finetune_4k.yaml
- densepose_rcnn_R_50_FPN_soft_animals_finetune_16k.yaml
- densepose_rcnn_R_50_FPN_soft_animals_finetune_4k.yaml
- densepose_rcnn_R_50_FPN_soft_animals_finetune_maskonly_24k.yaml
- densepose_rcnn_R_50_FPN_soft_animals_I0_finetune_16k.yaml
- densepose_rcnn_R_50_FPN_soft_animals_I0_finetune_i2m_16k.yaml
- densepose_rcnn_R_50_FPN_soft_animals_I0_finetune_m2m_16k.yaml
- densepose_rcnn_R_50_FPN_soft_chimps_finetune_4k.yaml
- densepose_rcnn_R_50_FPN_soft_s1x.yaml
- Base-RCNN-FPN-Atop10P_CA.yaml
- densepose_R_50_FPN_DL_WC1M_3x_Atop10P_CA.yaml
- densepose_R_50_FPN_DL_WC1M_3x_Atop10P_CA_B_coarsesegm.yaml
- densepose_R_50_FPN_DL_WC1M_3x_Atop10P_CA_B_finesegm.yaml
- densepose_R_50_FPN_DL_WC1M_3x_Atop10P_CA_B_uniform.yaml
- densepose_R_50_FPN_DL_WC1M_3x_Atop10P_CA_B_uv.yaml
- densepose_rcnn_HRFPN_HRNet_w32_s1x.yaml
- densepose_rcnn_HRFPN_HRNet_w40_s1x.yaml
- densepose_rcnn_HRFPN_HRNet_w48_s1x.yaml
- densepose_rcnn_R_50_FPN_DL_instant_test.yaml
- densepose_rcnn_R_50_FPN_soft_animals_finetune_instant_test.yaml
- densepose_rcnn_HRFPN_HRNet_w32_instant_test.yaml
- densepose_rcnn_R_50_FPN_DL_instant_test.yaml
- densepose_rcnn_R_50_FPN_inference_acc_test.yaml
- densepose_rcnn_R_50_FPN_instant_test.yaml
- densepose_rcnn_R_50_FPN_training_acc_test.yaml
- densepose_rcnn_R_50_FPN_TTA_inference_acc_test.yaml
- densepose_rcnn_R_50_FPN_WC1_instant_test.yaml
- densepose_rcnn_R_50_FPN_WC2_instant_test.yaml
- Base-DensePose-RCNN-FPN.yaml
- densepose_rcnn_R_101_FPN_DL_s1x.yaml
- densepose_rcnn_R_101_FPN_DL_WC1_s1x.yaml
- densepose_rcnn_R_101_FPN_DL_WC1M_s1x.yaml
- densepose_rcnn_R_101_FPN_DL_WC2_s1x.yaml
- densepose_rcnn_R_101_FPN_DL_WC2M_s1x.yaml
- densepose_rcnn_R_101_FPN_s1x.yaml
- densepose_rcnn_R_101_FPN_s1x_legacy.yaml
- densepose_rcnn_R_101_FPN_WC1_s1x.yaml
- densepose_rcnn_R_101_FPN_WC1M_s1x.yaml
- densepose_rcnn_R_101_FPN_WC2_s1x.yaml
- densepose_rcnn_R_101_FPN_WC2M_s1x.yaml
- densepose_rcnn_R_50_FPN_DL_s1x.yaml
- densepose_rcnn_R_50_FPN_DL_WC1_s1x.yaml
- densepose_rcnn_R_50_FPN_DL_WC1M_s1x.yaml
- densepose_rcnn_R_50_FPN_DL_WC2_s1x.yaml
- densepose_rcnn_R_50_FPN_DL_WC2M_s1x.yaml
- densepose_rcnn_R_50_FPN_s1x.yaml
- densepose_rcnn_R_50_FPN_s1x_legacy.yaml
- densepose_rcnn_R_50_FPN_WC1_s1x.yaml
- densepose_rcnn_R_50_FPN_WC1M_s1x.yaml
- densepose_rcnn_R_50_FPN_WC2_s1x.yaml
- densepose_rcnn_R_50_FPN_WC2M_s1x.yaml
- __init__.py
- base.py
- builtin.py
- chart_output_hflip.py
- chart_output_to_chart_result.py
- hflip.py
- segm_to_mask.py
- to_chart_result.py
- to_mask.py
- __init__.py
- builtin.py
- chimpnsee.py
- coco.py
- dataset_type.py
- lvis.py
- __init__.py
- builtin.py
- catalog.py
- __init__.py
- densepose_base.py
- densepose_confidence_based.py
- densepose_cse_base.py
- densepose_cse_confidence_based.py
- densepose_cse_uniform.py
- densepose_uniform.py
- mask_from_densepose.py
- prediction_to_gt.py
- __init__.py
- image.py
- __init__.py
- frame_selector.py
- video_keyframe_dataset.py
- __init__.py
- build.py
- combined_loader.py
- dataset_mapper.py
- image_list_dataset.py
- inference_based_loader.py
- utils.py
- __init__.py
- trainer.py
- __init__.py
- d2_evaluator_adapter.py
- densepose_coco_evaluation.py
- evaluator.py
- mesh_alignment_evaluator.py
- tensor_storage.py
- __init__.py
- embedder.py
- utils.py
- vertex_direct_embedder.py
- vertex_feature_embedder.py
- __init__.py
- chart.py
- chart_with_confidences.py
- cse.py
- cycle_pix2shape.py
- cycle_shape2shape.py
- embed.py
- embed_utils.py
- mask.py
- mask_or_segm.py
- registry.py
- segm.py
- soft_embed.py
- utils.py
- __init__.py
- chart.py
- chart_confidence.py
- chart_with_confidence.py
- cse.py
- cse_confidence.py
- cse_with_confidence.py
- registry.py
- __init__.py
- deeplab.py
- registry.py
- roi_head.py
- v1convx.py
- __init__.py
- build.py
- confidence.py
- densepose_checkpoint.py
- filter.py
- hrfpn.py
- hrnet.py
- inference.py
- test_time_augmentation.py
- utils.py
- __init__.py
- chart.py
- chart_confidence.py
- chart_result.py
- cse.py
- cse_confidence.py
- data_relative.py
- list.py
- mesh.py
- transform_data.py
- __init__.py
- dbhelper.py
- logger.py
- transform.py
- __init__.py
- base.py
- bounding_box.py
- densepose_data_points.py
- densepose_outputs_iuv.py
- densepose_outputs_vertex.py
- densepose_results.py
- densepose_results_textures.py
- extractor.py
- __init__.py
- config.py
- README.md
- run_inference_tests.sh
- run_instant_tests.sh
- BOOTSTRAPPING_PIPELINE.md
- DENSEPOSE_CSE.md
- DENSEPOSE_DATASETS.md
- DENSEPOSE_IUV.md
- GETTING_STARTED.md
- RELEASE_2020_04.md
- RELEASE_2021_03.md
- RELEASE_2021_06.md
- TOOL_APPLY_NET.md
- TOOL_QUERY_DB.md
- common.py
- test_chart_based_annotations_accumulator.py
- test_combine_data_loader.py
- test_cse_annotations_accumulator.py
- test_dataset_loaded_annotations.py
- test_frame_selector.py
- test_image_list_dataset.py
- test_image_resize_transform.py
- test_model_e2e.py
- test_setup.py
- test_structures.py
- test_tensor_storage.py
- test_video_keyframe_dataset.py
- apply_net.py
- query_db.py
- README.md
- setup.py
- train_net.py
- coco_loader.py
- coco_loader_lsj.py
- cascade_mask_rcnn_mvitv2_b_3x.py
- cascade_mask_rcnn_mvitv2_b_in21k_3x.py
- cascade_mask_rcnn_mvitv2_h_in21k_lsj_3x.py
- cascade_mask_rcnn_mvitv2_l_in21k_lsj_50ep.py
- cascade_mask_rcnn_mvitv2_s_3x.py
- cascade_mask_rcnn_mvitv2_t_3x.py
- mask_rcnn_mvitv2_t_3x.py
- README.md
- Base-PanopticDeepLab-OS16.yaml
- panoptic_deeplab_R_52_os16_mg124_poly_90k_bs32_crop_512_1024.yaml
- panoptic_deeplab_R_52_os16_mg124_poly_90k_bs32_crop_512_1024_dsconv.yaml
- panoptic_deeplab_R_52_os16_mg124_poly_200k_bs64_crop_640_640_coco_dsconv.yaml
- __init__.py
- config.py
- dataset_mapper.py
- panoptic_seg.py
- post_processing.py
- target_generator.py
- README.md
- train_net.py
- Base-Implicit-PointRend.yaml
- Base-PointRend-RCNN-FPN.yaml
- implicit_pointrend_R_50_FPN_1x_coco.yaml
- implicit_pointrend_R_50_FPN_3x_coco.yaml
- pointrend_rcnn_R_101_FPN_3x_coco.yaml
- pointrend_rcnn_R_50_FPN_1x_cityscapes.yaml
- pointrend_rcnn_R_50_FPN_1x_coco.yaml
- pointrend_rcnn_R_50_FPN_3x_coco.yaml
- pointrend_rcnn_X_101_32x8d_FPN_3x_coco.yaml
- Base-PointRend-Semantic-FPN.yaml
- pointrend_semantic_R_101_FPN_1x_cityscapes.yaml
- __init__.py
- color_augmentation.py
- config.py
- mask_head.py
- point_features.py
- point_head.py
- roi_heads.py
- semantic_seg.py
- README.md
- train_net.py
- implicit_pointrend_R_50_FPN_3x_point_sup_point_aug_coco.yaml
- mask_rcnn_R_50_FPN_3x_point_sup_coco.yaml
- mask_rcnn_R_50_FPN_3x_point_sup_point_aug_coco.yaml
- __init__.py
- config.py
- dataset_mapper.py
- detection_utils.py
- mask_head.py
- point_utils.py
- register_point_annotations.py
- prepare_coco_point_annotations_without_masks.py
- README.md
- train_net.py
- mask_rcnn_BNhead.py
- mask_rcnn_BNhead_batch_stats.py
- mask_rcnn_BNhead_shuffle.py
- mask_rcnn_SyncBNhead.py
- retinanet_SyncBNhead.py
- retinanet_SyncBNhead_SharedTraining.py
- README.md
- retinanet-eval-domain-specific.py
- Base-TensorMask.yaml
- tensormask_R_50_FPN_1x.yaml
- tensormask_R_50_FPN_6x.yaml
- SwapAlign2Nat.h
- SwapAlign2Nat_cuda.cu
- vision.cpp
- __init__.py
- swap_align2nat.py
- __init__.py
- arch.py
- config.py
- __init__.py
- test_swap_align2nat.py
- README.md
- setup.py
- train_net.py
- Base-TridentNet-Fast-C4.yaml
- tridentnet_fast_R_101_C4_3x.yaml
- tridentnet_fast_R_50_C4_1x.yaml
- tridentnet_fast_R_50_C4_3x.yaml
- __init__.py
- config.py
- trident_backbone.py
- trident_conv.py
- trident_rcnn.py
- trident_rpn.py
- README.md
- train_net.py
- cascade_mask_rcnn_mvitv2_b_in21k_100ep.py
- cascade_mask_rcnn_mvitv2_h_in21k_36ep.py
- cascade_mask_rcnn_mvitv2_l_in21k_50ep.py
- cascade_mask_rcnn_swin_b_in21k_50ep.py
- cascade_mask_rcnn_swin_l_in21k_50ep.py
- cascade_mask_rcnn_vitdet_b_100ep.py
- cascade_mask_rcnn_vitdet_h_75ep.py
- cascade_mask_rcnn_vitdet_l_100ep.py
- mask_rcnn_vitdet_b_100ep.py
- mask_rcnn_vitdet_h_75ep.py
- mask_rcnn_vitdet_l_100ep.py
- coco_loader_lsj.py
- cascade_mask_rcnn_mvitv2_b_in21k_100ep.py
- cascade_mask_rcnn_mvitv2_h_in21k_50ep.py
- cascade_mask_rcnn_mvitv2_l_in21k_50ep.py
- cascade_mask_rcnn_swin_b_in21k_50ep.py
- cascade_mask_rcnn_swin_l_in21k_50ep.py
- cascade_mask_rcnn_vitdet_b_100ep.py
- cascade_mask_rcnn_vitdet_h_100ep.py
- cascade_mask_rcnn_vitdet_l_100ep.py
- mask_rcnn_vitdet_b_100ep.py
- mask_rcnn_vitdet_h_100ep.py
- mask_rcnn_vitdet_l_100ep.py
- README.md
- README.md
- bad_import.py
- bad_import2.py
- dir1_a.py
- dir1_b.py
- load_rel.py
- root_cfg.py
- test_instantiate_config.py
- test_lazy_config.py
- test_yacs_config.py
- __init__.py
- test_coco.py
- test_coco_evaluation.py
- test_dataset.py
- test_detection_utils.py
- test_rotation_transform.py
- test_sampler.py
- test_transforms.py
- test_c10.py
- __init__.py
- test_blocks.py
- test_deformable.py
- test_losses.py
- test_mask_ops.py
- test_nms.py
- test_nms_rotated.py
- test_roi_align.py
- test_roi_align_rotated.py
- __init__.py
- test_anchor_generator.py
- test_backbone.py
- test_box2box_transform.py
- test_fast_rcnn.py
- test_matcher.py
- test_mmdet.py
- test_model_e2e.py
- test_roi_heads.py
- test_roi_pooler.py
- test_rpn.py
- __init__.py
- test_boxes.py
- test_imagelist.py
- test_instances.py
- test_keypoints.py
- test_masks.py
- test_rotated_boxes.py
- __init__.py
- test_bbox_iou_tracker.py
- test_hungarian_tracker.py
- test_iou_weighted_hungarian_bbox_iou_tracker.py
- test_vanilla_hungarian_bbox_iou_tracker.py
- test_tensorboardx.py
- __init__.py
- README.md
- test_checkpoint.py
- test_engine.py
- test_events.py
- test_export_caffe2.py
- test_export_onnx.py
- test_export_torchscript.py
- test_model_analysis.py
- test_model_zoo.py
- test_packaging.py
- test_registry.py
- test_scheduler.py
- test_solver.py
- test_visualizer.py
- CMakeLists.txt
- export_model.py
- README.md
- torchscript_mask_rcnn.cpp
- __init__.py
- analyze_model.py
- benchmark.py
- convert-torchvision-to-d2.py
- lazyconfig_train_net.py
- lightning_train_net.py
- plain_train_net.py
- README.md
- train_net.py
- visualize_data.py
- visualize_json_results.py
- .clang-format
- .flake8
- .gitignore
- GETTING_STARTED.md
- INSTALL.md
- LICENSE
- MODEL_ZOO.md
- README.md
- setup.cfg
- setup.py
- __init__.py
- audio.py
- LICENSE
- tokenizer.py
- transcribe.py
- utils.py
- __init__.py
- gemini_api.py
- openai_api.py
- phi3.py
- __init__.py
- bpe_simple_vocab_16e6.txt.gz
- clipTextEncoder.py
- clipTokenizer.py
- ddim.py
- LICENSE
- sdInpaint.py
- text2image_inpaint.py
- __init__.py
- common.py
- image_encoder.py
- mask_decoder.py
- prompt_encoder.py
- sam.py
- transformer.py
- __init__.py
- amg.py
- onnx.py
- transforms.py
- __init__.py
- automatic_mask_generator.py
- build_sam.py
- LICENSE
- predictor.py
- __init__.py
- detectron.py
- segmentAnything.py
- jfk.flac
- dog.png
- dog_mask.png
- input.jpg
- __init__.py
- test_detectron.py
- test_gemini.py
- test_sdinpaint.py
- test_whisper.py
- jpeg64.png
- jpg64.png
- png64.png
- webp64.png
- inpaint1.jpg
- inpaint2.jpg
- origImg.jpg
- segImg.jpg
- app.js
- style.css
- index.html
- README.md
- .env.example
- .gitignore
- __init__.py
- app.py
- Dockerfile
- INSTALL.md
- LICENSE
- main.py
- NOTICE
- README.md
- requirements.txt
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/ShaShekhar/aaiela
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd aaiela
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. Docker
쉬움 추천사전 준비물
- Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
- Docker Desktop 컨테이너를 빌드하고 실행하려면 필요합니다. 설치 후 실행해서 백그라운드에 켜두세요.
docker compose -f models/detectron2/docker/docker-compose.yml up -d --build
compose 설정 파일에 정의된 서비스들을 대상으로 명령을 실행합니다.
터미널에 docker compose ps 를 입력해 컨테이너들이 Up 상태인지 확인하세요. README에 포트 번호가 적혀있다면 브라우저에서 http://localhost:포트번호 로 접속해보세요.
3. CMake
보통사전 준비물
⚠️ 이 프로젝트는 규모가 큰 저장소라, 이 방법이 실제 핵심 제품이 아니라 내부 하위 패키지를 가리키는 것일 수 있습니다. README 전체를 함께 확인해보세요.
cd models/detectron2/tools/deploy
이 프로젝트의 관련 파일이 하위 폴더 안에 있어서, 먼저 그 폴더로 이동합니다.
mkdir build && cd build
빌드 결과물을 담을 폴더를 만들고 그 안으로 이동합니다.
cmake ..
소스코드를 분석해 빌드 설정 파일을 생성합니다 (build 폴더 안에서 실행해야 함).
make
생성된 빌드 설정을 바탕으로 실제 컴파일을 진행해 실행 파일을 만듭니다.
build 폴더 안에 실행 파일이 생성됐는지 확인하고, 직접 실행해보세요 (예: ./build/앱이름).
// repository documentation
Was this content helpful?
(0 ratings)
