未验证 提交 546eeaaa 编写于 作者: F Feng Ni 提交者: GitHub

[doc] fix fcos reader tab for ce test (#6969)

上级 80b2627b
worker_num: 2
TrainReader:
sample_transforms:
- Decode: {}
- Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
- NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
- RandomFlip: {}
- Decode: {}
- Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
- NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
- RandomFlip: {}
batch_transforms:
- Permute: {}
- PadBatch: {pad_to_stride: 128}
- Gt2FCOSTarget:
object_sizes_boundary: [64, 128, 256, 512]
center_sampling_radius: 1.5
downsample_ratios: [8, 16, 32, 64, 128]
norm_reg_targets: True
- Permute: {}
- PadBatch: {pad_to_stride: 128}
- Gt2FCOSTarget:
object_sizes_boundary: [64, 128, 256, 512]
center_sampling_radius: 1.5
downsample_ratios: [8, 16, 32, 64, 128]
norm_reg_targets: True
batch_size: 2
shuffle: True
drop_last: True
......@@ -20,22 +20,22 @@ TrainReader:
EvalReader:
sample_transforms:
- Decode: {}
- Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
- NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
- Permute: {}
- Decode: {}
- Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
- NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
- Permute: {}
batch_transforms:
- PadBatch: {pad_to_stride: 128}
- PadBatch: {pad_to_stride: 128}
batch_size: 1
TestReader:
sample_transforms:
- Decode: {}
- Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
- NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
- Permute: {}
- Decode: {}
- Resize: {target_size: [800, 1333], keep_ratio: True, interp: 1}
- NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
- Permute: {}
batch_transforms:
- PadBatch: {pad_to_stride: 128}
- PadBatch: {pad_to_stride: 128}
batch_size: 1
fuse_normalize: True
......@@ -10,18 +10,18 @@ weights: output/fcos_r50_fpn_multiscale_2x_coco/model_final
TrainReader:
sample_transforms:
- Decode: {}
- RandomResize: {target_size: [[640, 1333], [672, 1333], [704, 1333], [736, 1333], [768, 1333], [800, 1333]], keep_ratio: True, interp: 1}
- NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
- RandomFlip: {}
- Decode: {}
- RandomResize: {target_size: [[640, 1333], [672, 1333], [704, 1333], [736, 1333], [768, 1333], [800, 1333]], keep_ratio: True, interp: 1}
- NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
- RandomFlip: {}
batch_transforms:
- Permute: {}
- PadBatch: {pad_to_stride: 128}
- Gt2FCOSTarget:
object_sizes_boundary: [64, 128, 256, 512]
center_sampling_radius: 1.5
downsample_ratios: [8, 16, 32, 64, 128]
norm_reg_targets: True
- Permute: {}
- PadBatch: {pad_to_stride: 128}
- Gt2FCOSTarget:
object_sizes_boundary: [64, 128, 256, 512]
center_sampling_radius: 1.5
downsample_ratios: [8, 16, 32, 64, 128]
norm_reg_targets: True
batch_size: 2
shuffle: True
drop_last: True
......
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