first push

.gitignore

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+__pycache__
+checkpoint

README.md

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+# pytorch-detector

configs/config.yaml

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+DATASET:
+  TRAIN: "/home/qiuqiu/Desktop/coco2017/train2017.txt"
+  VAL: "/home/qiuqiu/Desktop/coco2017/val2017.txt"
+  NAMES: "dataset/coco128/coco.names"
+MODEL:
+  NC: 80
+  INPUT_WIDTH: 512
+  INPUT_HEIGHT: 512
+TRAIN:
+  LR: 0.001
+  THRESH: 0.25
+  WARMUP: true
+  BATCH_SIZE: 64
+  END_EPOCH: 350
+  MILESTIONES:
+    - 150
+    - 250
+    - 300

dataset/README.md

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+# pytorch-detector

dataset/coco128/coco.names

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+person
+bicycle
+car
+motorbike
+aeroplane
+bus
+train
+truck
+boat
+traffic light
+fire hydrant
+stop sign
+parking meter
+bench
+bird
+cat
+dog
+horse
+sheep
+cow
+elephant
+bear
+zebra
+giraffe
+backpack
+umbrella
+handbag
+tie
+suitcase
+frisbee
+skis
+snowboard
+sports ball
+kite
+baseball bat
+baseball glove
+skateboard
+surfboard
+tennis racket
+bottle
+wine glass
+cup
+fork
+knife
+spoon
+bowl
+banana
+apple
+sandwich
+orange
+broccoli
+carrot
+hot dog
+pizza
+donut
+cake
+chair
+sofa
+pottedplant
+bed
+diningtable
+toilet
+tvmonitor
+laptop
+mouse
+remote
+keyboard
+cell phone
+microwave
+oven
+toaster
+sink
+refrigerator
+book
+clock
+vase
+scissors
+teddy bear
+hair drier
+toothbrush

dataset/coco128/train.txt

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dataset/coco128/train/000000000009.txt

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+45 0.479492 0.688771 0.955609 0.5955
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+49 0.668297 0.226906 0.131281 0.146896
+49 0.642859 0.079219 0.148063 0.148062

dataset/coco128/train/000000000025.txt

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+23 0.770336 0.489695 0.335891 0.697559
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dataset/coco128/train/000000000030.txt

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+58 0.519219 0.451121 0.39825 0.75729
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dataset/coco128/train/000000000034.txt

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+22 0.346211 0.493259 0.689422 0.892118

dataset/coco128/train/000000000036.txt

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dataset/coco128/train/000000000042.txt

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+16 0.606687 0.341381 0.544156 0.51

dataset/coco128/train/000000000049.txt

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dataset/coco128/train/000000000061.txt

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dataset/coco128/train/000000000064.txt

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dataset/coco128/train/000000000071.txt

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dataset/coco128/train/000000000072.txt

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dataset/coco128/train/000000000073.txt

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dataset/coco128/train/000000000074.txt

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dataset/coco128/train/000000000077.txt

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dataset/coco128/train/000000000078.txt

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dataset/coco128/train/000000000081.txt

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dataset/coco128/train/000000000086.txt

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dataset/coco128/train/000000000089.txt

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dataset/coco128/train/000000000092.txt

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dataset/coco128/train/000000000094.txt

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dataset/coco128/train/000000000109.txt

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dataset/coco128/train/000000000110.txt

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dataset/coco128/train/000000000113.txt

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dataset/coco128/train/000000000127.txt

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dataset/coco128/train/000000000133.txt

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dataset/coco128/train/000000000136.txt

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dataset/coco128/train/000000000138.txt

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dataset/coco128/train/000000000142.txt

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dataset/coco128/train/000000000143.txt

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dataset/coco128/train/000000000144.txt

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dataset/coco128/train/000000000149.txt

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dataset/coco128/train/000000000151.txt

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dataset/coco128/train/000000000154.txt

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dataset/coco128/train/000000000164.txt

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dataset/coco128/train/000000000165.txt

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dataset/coco128/train/000000000192.txt

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dataset/coco128/train/000000000194.txt

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dataset/coco128/train/000000000196.txt

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dataset/coco128/train/000000000201.txt

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dataset/coco128/train/000000000208.txt

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dataset/coco128/train/000000000241.txt

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