update custom config

data/coco.names

@@ -1,80 +1,4 @@
-person
-bicycle
-car
-motorcycle
-airplane
-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
-couch
-potted plant
-bed
-dining table
-toilet
-tv
-laptop
-mouse
-remote
-keyboard
-cell phone
-microwave
-oven
-toaster
-sink
-refrigerator
-book
-clock
-vase
-scissors
-teddy bear
-hair drier
-toothbrush
+headline
+doc
+cir_stamp
+rec_stamp

data/coco.yaml

@@ -1,18 +1,16 @@
 # train and val datasets (image directory or *.txt file with image paths)
-train: ../coco/train2017.txt  # 118k images
-val: ../coco/val2017.txt  # 5k images
-test: ../coco/test-dev2017.txt  # 20k images for submission to https://competitions.codalab.org/competitions/20794
+train: /content/yolor/doc_layout/train/images  # 118k images
+val: /content/yolor/doc_layout/val/images  # 5k images
+test: /content/yolor/doc_layout/test/images  # 20k images for submission to https://competitions.codalab.org/competitions/20794
 
 # number of classes
-nc: 80
+nc: 4
 
 # class names
-names: ['person', 'bicycle', 'car', 'motorcycle', 'airplane', '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', 'couch',
-        'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone',
-        'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear',
-        'hair drier', 'toothbrush']
+names: [
+        'headline',
+        'doc',
+        'cir_stamp',
+        'rec_stamp'
+]
+

requirements.txt

@@ -9,8 +9,8 @@ Pillow
 PyYAML>=5.3.1
 scipy>=1.4.1
 tensorboard>=1.5
-torch==1.7.0
-torchvision==0.8.1
+torch>=1.7.0
+torchvision>=0.8.1
 tqdm>=4.41.0
 
 # logging -------------------------------------
@@ -23,8 +23,8 @@ pandas
 # export --------------------------------------
 # coremltools>=4.1
 # onnx>=1.8.1
-# scikit-learn==0.19.2  # for coreml quantization
+# scikit-learn>=0.19.2  # for coreml quantization
 
 # extras --------------------------------------
 thop  # FLOPS computation
-pycocotools==2.0  # COCO mAP
+pycocotools>=2.0  # COCO mAP