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The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"
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- ga_retinanet_x101_32x4d_fpn_1x_coco.py
- ga_retinanet_x101_64x4d_fpn_1x_coco.py
- ga_rpn_r101_caffe_fpn_1x_coco.py
- ga_rpn_r50_caffe_fpn_1x_coco.py
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- cascade_mask_rcnn_hrnetv2p_w40_20e_coco.py
- cascade_rcnn_hrnetv2p_w18_20e_coco.py
- cascade_rcnn_hrnetv2p_w32_20e_coco.py
- cascade_rcnn_hrnetv2p_w40_20e_coco.py
- faster_rcnn_hrnetv2p_w18_1x_coco.py
- faster_rcnn_hrnetv2p_w18_2x_coco.py
- faster_rcnn_hrnetv2p_w32_1x_coco.py
- faster_rcnn_hrnetv2p_w32_2x_coco.py
- faster_rcnn_hrnetv2p_w40_1x_coco.py
- faster_rcnn_hrnetv2p_w40_2x_coco.py
- fcos_hrnetv2p_w18_gn-head_4x4_1x_coco.py
- fcos_hrnetv2p_w18_gn-head_4x4_2x_coco.py
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- fcos_hrnetv2p_w32_gn-head_4x4_1x_coco.py
- fcos_hrnetv2p_w32_gn-head_4x4_2x_coco.py
- fcos_hrnetv2p_w32_gn-head_mstrain_640-800_4x4_2x_coco.py
- fcos_hrnetv2p_w40_gn-head_mstrain_640-800_4x4_2x_coco.py
- htc_hrnetv2p_w18_20e_coco.py
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- htc_hrnetv2p_w40_20e_coco.py
- htc_hrnetv2p_w40_28e_coco.py
- htc_x101_64x4d_fpn_16x1_28e_coco.py
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- libra_faster_rcnn_r101_fpn_1x_coco.py
- libra_faster_rcnn_r50_fpn_1x_coco.py
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- cityscapes.py
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- analyze_logs.py
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- detectron2pytorch.py
- dist_test.sh
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- pytorch2onnx.py
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- robustness_eval.py
- slurm_test.sh
- slurm_train.sh
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- train.py
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- __init__.py
- base_model.py
- models.py
- NormalCell.py
- ReductionCell.py
- SELayer.py
- swin.py
- token_performer.py
- token_transformer.py
- __init__.py
- build.py
- resnet.py
- swin_transformer.py
- config.py
- logger.py
- lr_scheduler.py
- main.py
- master_addr
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- config.yml
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- log_collector.py
- readme.md
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- batch_test_list.py
- batch_train_list.txt
- benchmark_evaluation.sh
- benchmark_inference.py
- benchmark_train.sh
- check_urls.py
- gather_benchmark_evaluation_results.py
- gather_benchmark_train_results.py
- gather_models.py
- generate_benchmark_evaluation_script.py
- generate_benchmark_train_script.py
- md2yml.py
- upload_modelzoo.py
- config.yml
- error-report.md
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- reimplementation_questions.md
- build.yml
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- CODE_OF_CONDUCT.md
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- pull_request_template.md
- ade20k.py
- chase_db1.py
- cityscapes.py
- cityscapes_1024x1024.py
- cityscapes_768x768.py
- cityscapes_769x769.py
- cityscapes_832x832.py
- coco-stuff10k.py
- coco-stuff164k.py
- drive.py
- hrf.py
- isaid.py
- loveda.py
- pascal_context.py
- pascal_context_59.py
- pascal_voc12.py
- pascal_voc12_aug.py
- potsdam.py
- stare.py
- vaihingen.py
- ann_r50-d8.py
- apcnet_r50-d8.py
- bisenetv1_r18-d32.py
- bisenetv2.py
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- danet_r50-d8.py
- deeplabv3_r50-d8.py
- deeplabv3_unet_s5-d16.py
- deeplabv3plus_r50-d8.py
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- dnl_r50-d8.py
- dpt_vit-b16.py
- emanet_r50-d8.py
- encnet_r50-d8.py
- erfnet_fcn.py
- fast_scnn.py
- fastfcn_r50-d32_jpu_psp.py
- fcn_hr18.py
- fcn_r50-d8.py
- fcn_unet_s5-d16.py
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- lraspp_m-v3-d8.py
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- psanet_r50-d8.py
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- pspnet_unet_s5-d16.py
- segformer_mit-b0.py
- segmenter_vit-b16_mask.py
- setr_mla.py
- setr_naive.py
- setr_pup.py
- stdc.py
- twins_pcpvt-s_fpn.py
- twins_pcpvt-s_upernet.py
- upernet_our_r50.py
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- upernet_swin.py
- upernet_swin_new.py
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- schedule_100.py
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- ann.yml
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- dnlnet.yml
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- emanet.yml
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- emanet_r50-d8_512x1024_80k_cityscapes.py
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- segformer_mit-b4_512x512_160k_ade20k.py
- segformer_mit-b4_8x1_1024x1024_160k_cityscapes.py
- segformer_mit-b5_512x512_160k_ade20k.py
- segformer_mit-b5_640x640_160k_ade20k.py
- segformer_mit-b5_8x1_1024x1024_160k_cityscapes.py
- README.md
- segmenter.yml
- segmenter_vit-b_mask_8x1_512x512_160k_ade20k.py
- segmenter_vit-l_mask_8x1_512x512_160k_ade20k.py
- segmenter_vit-s_linear_8x1_512x512_160k_ade20k.py
- segmenter_vit-s_mask_8x1_512x512_160k_ade20k.py
- segmenter_vit-t_mask_8x1_512x512_160k_ade20k.py
- fpn_r101_512x1024_80k_cityscapes.py
- fpn_r101_512x512_160k_ade20k.py
- fpn_r50_512x1024_80k_cityscapes.py
- fpn_r50_512x512_160k_ade20k.py
- fpn_r50_our_imp_512x512_80k_potsdam.py
- fpn_r50_our_imp_512x512_80k_vaihingen.py
- fpn_r50_our_imp_896x896_80k_isaid.py
- fpn_r50_our_rsp_512x512_80k_potsdam.py
- fpn_r50_our_rsp_512x512_80k_vaihingen.py
- fpn_r50_our_rsp_896x896_80k_isaid.py
- fpn_r50_our_seco_512x512_80k_potsdam.py
- fpn_r50_our_seco_512x512_80k_vaihingen.py
- fpn_r50_our_seco_896x896_80k_isaid.py
- fpn_r50_our_swin_512x512_80k_potsdam.py
- fpn_r50_our_swin_512x512_80k_vaihingen.py
- fpn_r50_our_swin_896x896_80k_isaid.py
- fpn_r50_our_vitae_512x512_80k_potsdam.py
- fpn_r50_our_vitae_512x512_80k_vaihingen.py
- fpn_r50_our_vitae_896x896_80k_isaid.py
- README.md
- sem_fpn.yml
- README.md
- setr.yml
- setr_mla_512x512_160k_b16_ade20k.py
- setr_mla_512x512_160k_b8_ade20k.py
- setr_naive_512x512_160k_b16_ade20k.py
- setr_pup_512x512_160k_b16_ade20k.py
- setr_vit-large_mla_8x1_768x768_80k_cityscapes.py
- setr_vit-large_naive_8x1_768x768_80k_cityscapes.py
- setr_vit-large_pup_8x1_768x768_80k_cityscapes.py
- README.md
- stdc.yml
- stdc1_512x1024_80k_cityscapes.py
- stdc1_in1k-pre_512x1024_80k_cityscapes.py
- stdc2_512x1024_80k_cityscapes.py
- stdc2_in1k-pre_512x1024_80k_cityscapes.py
- README.md
- swin.yml
- upernet_swin_base_patch4_window12_512x512_160k_ade20k_pretrain_384x384_1K.py
- upernet_swin_base_patch4_window12_512x512_160k_ade20k_pretrain_384x384_22K.py
- upernet_swin_base_patch4_window7_512x512_160k_ade20k_pretrain_224x224_1K.py
- upernet_swin_base_patch4_window7_512x512_160k_ade20k_pretrain_224x224_22K.py
- upernet_swin_small_patch4_window7_512x512_160k_ade20k_pretrain_224x224_1K.py
- upernet_swin_tiny_patch4_window7_512x512_160k_ade20k_pretrain_224x224_1K.py
- upernet_swin_tiny_patch4_window7_512x512_80k_potsdam.py
- upernet_swin_tiny_patch4_window7_896x896_80k_isaid.py
- upernet_swin_tiny_patch4_window7_imp_512x512_80k_potsdam.py
- upernet_swin_tiny_patch4_window7_imp_896x896_80k_isaid.py
- README.md
- twins.yml
- twins_pcpvt-b_fpn_fpnhead_8x4_512x512_80k_ade20k.py
- twins_pcpvt-b_uperhead_8x2_512x512_160k_ade20k.py
- twins_pcpvt-l_fpn_fpnhead_8x4_512x512_80k_ade20k.py
- twins_pcpvt-l_uperhead_8x2_512x512_160k_ade20k.py
- twins_pcpvt-s_fpn_fpnhead_8x4_512x512_80k_ade20k.py
- twins_pcpvt-s_uperhead_8x4_512x512_160k_ade20k.py
- twins_svt-b_fpn_fpnhead_8x4_512x512_80k_ade20k.py
- twins_svt-b_uperhead_8x2_512x512_160k_ade20k.py
- twins_svt-l_fpn_fpnhead_8x4_512x512_80k_ade20k.py
- twins_svt-l_uperhead_8x2_512x512_160k_ade20k.py
- twins_svt-s_fpn_fpnhead_8x4_512x512_80k_ade20k.py
- twins_svt-s_uperhead_8x2_512x512_160k_ade20k.py
- deeplabv3_unet_s5-d16_128x128_40k_chase_db1.py
- deeplabv3_unet_s5-d16_128x128_40k_stare.py
- deeplabv3_unet_s5-d16_256x256_40k_hrf.py
- deeplabv3_unet_s5-d16_64x64_40k_drive.py
- deeplabv3_unet_s5-d16_ce-1.0-dice-3.0_128x128_40k_chase-db1.py
- deeplabv3_unet_s5-d16_ce-1.0-dice-3.0_128x128_40k_stare.py
- deeplabv3_unet_s5-d16_ce-1.0-dice-3.0_256x256_40k_hrf.py
- deeplabv3_unet_s5-d16_ce-1.0-dice-3.0_64x64_40k_drive.py
- fcn_unet_s5-d16_128x128_40k_chase_db1.py
- fcn_unet_s5-d16_128x128_40k_stare.py
- fcn_unet_s5-d16_256x256_40k_hrf.py
- fcn_unet_s5-d16_4x4_512x1024_160k_cityscapes.py
- fcn_unet_s5-d16_64x64_40k_drive.py
- fcn_unet_s5-d16_ce-1.0-dice-3.0_128x128_40k_chase-db1.py
- fcn_unet_s5-d16_ce-1.0-dice-3.0_128x128_40k_stare.py
- fcn_unet_s5-d16_ce-1.0-dice-3.0_256x256_40k_hrf.py
- fcn_unet_s5-d16_ce-1.0-dice-3.0_64x64_40k_drive.py
- pspnet_unet_s5-d16_128x128_40k_chase_db1.py
- pspnet_unet_s5-d16_128x128_40k_stare.py
- pspnet_unet_s5-d16_256x256_40k_hrf.py
- pspnet_unet_s5-d16_64x64_40k_drive.py
- pspnet_unet_s5-d16_ce-1.0-dice-3.0_128x128_40k_chase-db1.py
- pspnet_unet_s5-d16_ce-1.0-dice-3.0_128x128_40k_stare.py
- pspnet_unet_s5-d16_ce-1.0-dice-3.0_256x256_40k_hrf.py
- pspnet_unet_s5-d16_ce-1.0-dice-3.0_64x64_40k_drive.py
- README.md
- unet.yml
- README.md
- upernet.yml
- upernet_our_imp_r50_512x512_80k_potsdam.py
- upernet_our_imp_r50_896x896_80k_isaid.py
- upernet_our_r50_512x512_80k_potsdam.py
- upernet_our_r50_896x896_80k_isaid.py
- upernet_r101_512x1024_40k_cityscapes.py
- upernet_r101_512x1024_80k_cityscapes.py
- upernet_r101_512x512_160k_ade20k.py
- upernet_r101_512x512_20k_voc12aug.py
- upernet_r101_512x512_40k_voc12aug.py
- upernet_r101_512x512_80k_ade20k.py
- upernet_r101_769x769_40k_cityscapes.py
- upernet_r101_769x769_80k_cityscapes.py
- upernet_r50_512x1024_40k_cityscapes.py
- upernet_r50_512x1024_80k_cityscapes.py
- upernet_r50_512x512_160k_ade20k.py
- upernet_r50_512x512_20k_voc12aug.py
- upernet_r50_512x512_40k_voc12aug.py
- upernet_r50_512x512_80k_ade20k.py
- upernet_r50_769x769_40k_cityscapes.py
- upernet_r50_769x769_80k_cityscapes.py
- upernet_seco_r50_512x512_80k_potsdam.py
- upernet_seco_r50_896x896_80k_isaid.py
- README.md
- upernet_deit-b16_512x512_160k_ade20k.py
- upernet_deit-b16_512x512_80k_ade20k.py
- upernet_deit-b16_ln_mln_512x512_160k_ade20k.py
- upernet_deit-b16_mln_512x512_160k_ade20k.py
- upernet_deit-s16_512x512_160k_ade20k.py
- upernet_deit-s16_512x512_80k_ade20k.py
- upernet_deit-s16_ln_mln_512x512_160k_ade20k.py
- upernet_deit-s16_mln_512x512_160k_ade20k.py
- upernet_vit-b16_ln_mln_512x512_160k_ade20k.py
- upernet_vit-b16_mln_512x512_160k_ade20k.py
- upernet_vit-b16_mln_512x512_80k_ade20k.py
- vit.yml
- upernet_vitae_win_imp_window7_512x512_80k_potsdam.py
- upernet_vitae_win_imp_window7_896x896_80k_isaid.py
- upernet_vitae_win_window7_512x512_80k_potsdam_epoch100.py
- upernet_vitae_win_window7_512x512_80k_potsdam_epoch40.py
- upernet_vitae_win_window7_896x896_80k_isaid_epoch100.py
- upernet_vitae_win_window7_896x896_80k_isaid_epoch40.py
- __init__.py
- checkpoint.py
- demo.png
- image_demo.py
- inference_demo.ipynb
- MMSegmentation_Tutorial.ipynb
- video_demo.py
- config.properties
- Dockerfile
- entrypoint.sh
- Dockerfile
- readthedocs.css
- mmsegmentation.png
- config.md
- customize_datasets.md
- customize_models.md
- customize_runtime.md
- data_pipeline.md
- index.rst
- training_tricks.md
- api.rst
- changelog.md
- conf.py
- dataset_prepare.md
- get_started.md
- index.rst
- inference.md
- make.bat
- Makefile
- model_zoo.md
- stat.py
- switch_language.md
- train.md
- useful_tools.md
- readthedocs.css
- mmsegmentation.png
- qq_group_qrcode.jpg
- seggroup_qrcode.jpg
- zhihu_qrcode.jpg
- config.md
- customize_datasets.md
- customize_models.md
- customize_runtime.md
- data_pipeline.md
- index.rst
- training_tricks.md
- api.rst
- conf.py
- dataset_prepare.md
- get_started.md
- index.rst
- inference.md
- make.bat
- Makefile
- model_zoo.md
- stat.py
- switch_language.md
- train.md
- useful_tools.md
- __init__.py
- inference.py
- test.py
- train.py
- __init__.py
- class_names.py
- eval_hooks.py
- metrics.py
- __init__.py
- base_pixel_sampler.py
- ohem_pixel_sampler.py
- __init__.py
- builder.py
- __init__.py
- misc.py
- __init__.py
- __init__.py
- compose.py
- formating.py
- formatting.py
- loading.py
- test_time_aug.py
- transforms.py
- __init__.py
- ade.py
- builder.py
- chase_db1.py
- cityscapes.py
- coco_stuff.py
- custom.py
- dark_zurich.py
- dataset_wrappers.py
- drive.py
- hrf.py
- isaid.py
- isprs.py
- loveda.py
- night_driving.py
- pascal_context.py
- potsdam.py
- potsdam_ori.py
- stare.py
- vaihingen.py
- voc.py
- __init__.py
- checkpoint.py
- __init__.py
- base_model.py
- models.py
- NormalCell.py
- ReductionCell.py
- SELayer.py
- swin.py
- token_performer.py
- token_transformer.py
- __init__.py
- bisenetv1.py
- bisenetv2.py
- cgnet.py
- erfnet.py
- fast_scnn.py
- hrnet.py
- icnet.py
- mit.py
- mobilenet_v2.py
- mobilenet_v3.py
- our_resnet.py
- resnest.py
- resnet.py
- resnext.py
- stdc.py
- swin.py
- swin_transformer.py
- timm_backbone.py
- twins.py
- unet.py
- vit.py
- __init__.py
- ann_head.py
- apc_head.py
- aspp_head.py
- cascade_decode_head.py
- cc_head.py
- da_head.py
- decode_head.py
- dm_head.py
- dnl_head.py
- dpt_head.py
- ema_head.py
- enc_head.py
- fcn_head.py
- fpn_head.py
- gc_head.py
- isa_head.py
- lraspp_head.py
- nl_head.py
- ocr_head.py
- point_head.py
- psa_head.py
- psp_head.py
- segformer_head.py
- segmenter_mask_head.py
- sep_aspp_head.py
- sep_fcn_head.py
- setr_mla_head.py
- setr_up_head.py
- stdc_head.py
- uper_head.py
- __init__.py
- accuracy.py
- cross_entropy_loss.py
- dice_loss.py
- focal_loss.py
- lovasz_loss.py
- utils.py
- __init__.py
- fpn.py
- ic_neck.py
- jpu.py
- mla_neck.py
- multilevel_neck.py
- __init__.py
- base.py
- cascade_encoder_decoder.py
- encoder_decoder.py
- __init__.py
- embed.py
- inverted_residual.py
- make_divisible.py
- res_layer.py
- se_layer.py
- self_attention_block.py
- shape_convert.py
- up_conv_block.py
- __init__.py
- builder.py
- __init__.py
- encoding.py
- wrappers.py
- __init__.py
- collect_env.py
- logger.py
- misc.py
- set_env.py
- __init__.py
- version.py
- docs.txt
- mminstall.txt
- optional.txt
- readthedocs.txt
- runtime.txt
- tests.txt
- 3dogs.jpg
- 3dogs_mask.png
- mmseg-logo.png
- seg_demo.gif
- test_single_gpu.py
- test_dataset.py
- test_dataset_builder.py
- test_loading.py
- test_transform.py
- test_tta.py
- __init__.py
- test_bisenetv1.py
- test_bisenetv2.py
- test_blocks.py
- test_cgnet.py
- test_erfnet.py
- test_fast_scnn.py
- test_hrnet.py
- test_icnet.py
- test_mit.py
- test_mobilenet_v3.py
- test_resnest.py
- test_resnet.py
- test_resnext.py
- test_stdc.py
- test_swin.py
- test_timm_backbone.py
- test_twins.py
- test_unet.py
- test_vit.py
- utils.py
- __init__.py
- test_ann_head.py
- test_apc_head.py
- test_aspp_head.py
- test_cc_head.py
- test_da_head.py
- test_decode_head.py
- test_dm_head.py
- test_dnl_head.py
- test_dpt_head.py
- test_ema_head.py
- test_enc_head.py
- test_fcn_head.py
- test_gc_head.py
- test_isa_head.py
- test_lraspp_head.py
- test_nl_head.py
- test_ocr_head.py
- test_point_head.py
- test_psa_head.py
- test_psp_head.py
- test_segformer_head.py
- test_segmenter_mask_head.py
- test_setr_mla_head.py
- test_setr_up_head.py
- test_stdc_head.py
- test_uper_head.py
- utils.py
- __init__.py
- test_ce_loss.py
- test_dice_loss.py
- test_focal_loss.py
- test_lovasz_loss.py
- test_utils.py
- __init__.py
- test_fpn.py
- test_ic_neck.py
- test_jpu.py
- test_mla_neck.py
- test_multilevel_neck.py
- __init__.py
- test_cascade_encoder_decoder.py
- test_encoder_decoder.py
- utils.py
- __init__.py
- test_embed.py
- __init__.py
- test_forward.py
- test_misc.py
- test_set_env.py
- __init__.py
- test_config.py
- test_digit_version.py
- test_eval_hook.py
- test_inference.py
- test_metrics.py
- test_sampler.py
- chase_db1.py
- cityscapes.py
- coco_stuff10k.py
- coco_stuff164k.py
- drive.py
- hrf.py
- loveda.py
- pascal_context.py
- potsdam.py
- stare.py
- vaihingen.py
- voc_aug.py
- mit2mmseg.py
- stdc2mmseg.py
- swin2mmseg.py
- twins2mmseg.py
- vit2mmseg.py
- vitjax2mmseg.py
- mmseg2torchserve.py
- mmseg_handler.py
- test_torchserve.py
- analyze_logs.py
- benchmark.py
- browse_dataset.py
- convert_iSAID_mask2graymask.py
- deploy_test.py
- dist_test.sh
- dist_train.sh
- get_flops.py
- onnx2tensorrt.py
- print_config.py
- publish_model.py
- pytorch2onnx.py
- pytorch2torchscript.py
- slurm_test.sh
- slurm_train.sh
- split_isaid.py
- test.py
- train.py
- .gitignore
- .pre-commit-config.yaml
- .readthedocs.yml
- LICENSE
- MANIFEST.in
- model-index.yml
- pytest.ini
- README.md
- requirements.txt
- setup.cfg
- setup.py
- highlycited.png
- LICENSE
- README.md
# Installation Guide
1. Get the code
git clone https://github.com/ViTAE-Transformer/RSP
Downloads the entire project code from GitHub to your computer.
cd RSP
Moves into the project folder you just downloaded.
2. Docker
Easy RecommendedPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
β οΈ 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.
docker build -f Object Detection/docker/Dockerfile -t rsp .
Builds a runnable image based on the Dockerfile.
docker run -p 8080:80 rsp
Runs the built image as an actual container.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
3. Python
EasyPrerequisites
pip install -r Object Detection/requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
jupyter notebook
Launches Jupyter in your browser so you can open and run the notebook (.ipynb) files.
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
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