hahattpro / crowd_counting_framework (public) (License: Unspecified) (since 2020-12-23) (hash sha1)
backupfrom https://github.com/ttpro1995/crowd_counting_framework
Clone URLs: https://rocketgit.com/user/hahattpro/crowd_counting_framework ssh://rocketgit@ssh.rocketgit.com/user/hahattpro/crowd_counting_framework git://git.rocketgit.com/user/hahattpro/crowd_counting_framework
debug/a-1 develop feature/add_can_adcrowdnet feature/add_context_aware_network feature/attn_can_adcrowd_simple feature/cache_dataloader feature/compact_cnn feature/compare_with_original_count feature/dataloader_not_divide_8 feature/debug_viz feature/documentation feature/improve_density_gen feature/improve_loss_fn feature/loader_full_and_augment feature/refactor-dataflow feature/refactor_ccnn_basecode feature/save_best feature/simple_cometml feature/train_context_aware_network_on_shtA feature/train_dev_test_split hotfix/fix_visualize_data_loader master meow_exp server-training with_apex

Mode Type Size Ref File
100644 blob 61 169fe2b7d512a59cfedf86ddb7ed040173c7434d .gitignore
100644 blob 1361 9e6fc31748e7fe2025a907f5089557585ce36092 README.md
100644 blob 7437 c646aebe2f338e96319a6b13b82d32d42f05a171 args_util.py
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100644 blob 1775 1165f1aba0814b448a3595a32bd74f1967509509 crowd_counting_error_metrics.py
100644 blob 32086 e05400d3db4bb3e047bdaa265bd935abeaf3070c data_flow.py
040000 tree - 17c9c74641b7acc37008a7f940a62323dd5b2b6b data_util
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100644 blob 4460 9b254c348a3453f4df2c3ccbf21fb175a16852de eval_context_aware_network.py
100644 blob 428 35cc7bfe48a4ed8dc56635fd3a6763612d8af771 evaluator.py
100644 blob 8459 6353cbe5408009681c0c2a573d3b67ba6b432f98 experiment_meow_main.py
100644 blob 1916 1d228fa4fa2887927db069f0c93c61a920279d1f explore_model_summary.py
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100644 blob 15300 cb90faba0bd4a45f2606a1e60975ed05bfacdb07 main_pacnn.py
100644 blob 2760 3c2d5ba1c81ef2770ad216c566e268f4ece17262 main_shanghaitech.py
100644 blob 2683 29189260c1a2c03c8e59cd0b4bd61df19d5ce098 main_ucfcc50.py
100644 blob 2039 e52f9798497dd23f9610b99ce00affcdede70082 model_util.py
040000 tree - d59211744250373ad892e65b45ecd5ace41e9493 models
100644 blob 1066 811554259182e63240d7aa9406f315377b3be1ac mse_ssim_loss.py
040000 tree - 2cc497edce5da8793879cc5e82718d1562ef17e8 playground
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100644 blob 1727 1cd14cbff636cb6145c8bacf013e97eb3f7ed578 sanity_check_dataloader.py
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100644 blob 3525 27067234ad3deddd743dcab0d7b3ba4812902656 train_attn_can_adcrowdnet.py
100644 blob 3488 e47bfc7e91c46ca3c61be0c5258302de4730b06d train_attn_can_adcrowdnet_freeze_vgg.py
100644 blob 5352 3ee3269d6fcc7408901af46bed52b1d86ee9818c train_attn_can_adcrowdnet_simple.py
100644 blob 5728 90b846b68f15bdc58e3fd60b41aa4b5d82864ec4 train_attn_can_adcrowdnet_simple_lrscheduler.py
100644 blob 8618 161ef9b114eca4d483fe2e720885769bb26548f6 train_compact_cnn.py
100644 blob 5702 fdec7cd1ee062aa4a2182a91e2fb1bd0db3ab35f train_compact_cnn_lrscheduler.py
100644 blob 5611 2a241c876015db34681d73ce534221de482b0b90 train_compact_cnn_sgd.py
100644 blob 3525 eb52f7a4462687c9b2bf1c3a887014c4afefa26d train_context_aware_network.py
100644 blob 5651 48631e36a1fdc063a6d54d9206d2fd45521d8dc8 train_custom_compact_cnn.py
100644 blob 5594 07d6c9c056db36082545b5b60b1c00d9d9f6396d train_custom_compact_cnn_lrscheduler.py
100644 blob 5281 8a92eb87b54f71ad2a799a7e05020344a22e22d3 train_custom_compact_cnn_sgd.py
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100644 blob 5392 03c78fe177520b309ee21e5c2b7ca67598fad99a visualize_data_loader.py
100644 blob 1146 1b0f845587f0f37166d44fa0c74b51f89cf8b349 visualize_util.py
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