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https://github.com/alibaba/EasyCV.git
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66 lines
2.0 KiB
Python
66 lines
2.0 KiB
Python
_base_ = [
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'./_base_/models/vitdet.py', './_base_/datasets/coco_instance.py',
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'configs/base.py'
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]
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CLASSES = [
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'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train',
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'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign',
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'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',
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'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag',
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'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite',
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'baseball bat', 'baseball glove', 'skateboard', 'surfboard',
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'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon',
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'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot',
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'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant',
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'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote',
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'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink',
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'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear',
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'hair drier', 'toothbrush'
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]
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log_config = dict(
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interval=50,
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hooks=[
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dict(type='TextLoggerHook'),
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# dict(type='TensorboardLoggerHook')
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])
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checkpoint_config = dict(interval=10)
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# optimizer
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paramwise_options = {
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'norm': dict(weight_decay=0.),
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'bias': dict(weight_decay=0.),
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'pos_embed': dict(weight_decay=0.),
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'cls_token': dict(weight_decay=0.)
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}
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optimizer = dict(
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type='AdamW',
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lr=1e-4,
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betas=(0.9, 0.999),
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weight_decay=0.1,
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paramwise_options=paramwise_options)
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optimizer_config = dict(grad_clip=None, loss_scale=512.)
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# learning policy
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lr_config = dict(
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policy='step',
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warmup='linear',
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warmup_iters=250,
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warmup_ratio=0.067,
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step=[88, 96])
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total_epochs = 100
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# evaluation
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eval_config = dict(interval=1, gpu_collect=False)
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eval_pipelines = [
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dict(
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mode='test',
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evaluators=[
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dict(type='CocoDetectionEvaluator', classes=CLASSES),
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dict(type='CocoMaskEvaluator', classes=CLASSES)
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],
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)
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]
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find_unused_parameters = False
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