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requirements.txt
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# Requirements automatically generated by pigar.
# https://github.com/damnever/pigar
# demo.py: 6
# ssd/data/datasets/coco.py: 4
# ssd/data/datasets/voc.py: 5
Pillow == 10.0.1
# demo.py: 7
Vizer == 0.1.5
# ssd/data/transforms/color/photometric_distort.py: 43
# ssd/data/transforms/color/random_brightness.py: 29
# ssd/data/transforms/color/random_contrast.py: 31
# ssd/data/transforms/color/random_hue.py: 29
# ssd/data/transforms/color/random_lighting_noise.py: 31
# ssd/data/transforms/color/random_saturation.py: 30
# ssd/data/transforms/expand.py: 45
# ssd/data/transforms/random_mirror.py: 26
# ssd/data/transforms/random_sample_crop.py: 152
matplotlib == 3.1.2
# demo.py: 12
# ssd/data/datasets/coco.py: 3
# ssd/data/datasets/evaluation/voc/build.py: 15
# ssd/data/datasets/evaluation/voc/eval_detection_voc.py: 5
# ssd/data/datasets/voc.py: 3
# ssd/data/transforms/color/photometric_distort.py: 10,42
# ssd/data/transforms/color/random_brightness.py: 10,28
# ssd/data/transforms/color/random_contrast.py: 10,30
# ssd/data/transforms/color/random_hue.py: 10,28
# ssd/data/transforms/color/random_lighting_noise.py: 10,30
# ssd/data/transforms/color/random_saturation.py: 10,29
# ssd/data/transforms/compose.py: 10
# ssd/data/transforms/convert_from_ints.py: 10
# ssd/data/transforms/expand.py: 10,11,44
# ssd/data/transforms/random_mirror.py: 10,25
# ssd/data/transforms/random_sample_crop.py: 10,11,151
# ssd/data/transforms/ssd_target_transform.py: 11
# ssd/data/transforms/subtract_means.py: 10
# ssd/data/transforms/to_tensor.py: 11
# ssd/utils/metric_logger.py: 2
numpy == 1.17.2
# ssd/data/transforms/color/convert_color.py: 10
# ssd/data/transforms/color/photometric_distort.py: 41
# ssd/data/transforms/color/random_brightness.py: 27
# ssd/data/transforms/color/random_contrast.py: 29
# ssd/data/transforms/color/random_hue.py: 27
# ssd/data/transforms/color/random_lighting_noise.py: 29
# ssd/data/transforms/color/random_saturation.py: 28
# ssd/data/transforms/expand.py: 43
# ssd/data/transforms/random_mirror.py: 24
# ssd/data/transforms/random_sample_crop.py: 150
# ssd/data/transforms/resize.py: 10
opencv_python == 4.2.0.34
# ssd/data/datasets/coco.py: 28
# ssd/data/datasets/evaluation/coco/__init__.py: 39
pycocotools == 2.0
# ssd/data/datasets/evaluation/voc/eval_detection_voc.py: 6
six == 1.12.0
# ssd/engine/trainer.py: 64
tensorboardX == 2.0
# demo.py: 5
# ssd/data/build.py: 1,2,3
# ssd/data/datasets/build.py: 10
# ssd/data/datasets/coco.py: 2
# ssd/data/datasets/voc.py: 2
# ssd/data/samples/distributed.py: 5,6,7
# ssd/data/samples/iteration_based_batch_sampler.py: 1
# ssd/data/transforms/ssd_target_transform.py: 10
# ssd/data/transforms/to_tensor.py: 10
# ssd/engine/inference.py: 4,5
# ssd/engine/trainer.py: 6,7
# ssd/layers/__init__.py: 1,2,3
# ssd/layers/separable_conv.py: 1
# ssd/models/anchors/prior_box.py: 3
# ssd/models/backbone/efficient_net/efficient_net.py: 1,2,3
# ssd/models/backbone/efficient_net/utils.py: 9,10,11
# ssd/models/backbone/mobilenet.py: 1
# ssd/models/backbone/vgg.py: 1,2
# ssd/models/box_head/box_head.py: 1,2
# ssd/models/box_head/box_predictor.py: 1,2
# ssd/models/box_head/inference.py: 1
# ssd/models/box_head/loss.py: 1,2,3
# ssd/models/detector/ssd_detector.py: 1
# ssd/optim/build.py: 10
# ssd/optim/lr_scheduler/warmup_multi_step_lr.py: 3
# ssd/utils/box_utils.py: 10
# ssd/utils/checkpoint.py: 4,5
# ssd/utils/dist_util.py: 3,4
# ssd/utils/metric_logger.py: 3
# ssd/utils/model_zoo.py: 10,11,12,14,15,16
# ssd/utils/nms.py: 6
# test.py: 5,6
# train.py: 5,6
torch == 1.5.0
# ssd/utils/nms.py: 3
torchvision == 0.6.0a0+82fd1c8
# ssd/engine/inference.py: 6
tqdm == 4.36.1
# ssd/config/defaults.py: 1
yacs == 0.1.7