siton bug

configs/ppyoloe/application/ppyoloe_plus_crn_m_80e_sku110k.yml

+_BASE_: [
+  './_base_/sku110k.yml',
+  '../../runtime.yml'
+]
+
+log_iter: 10
+snapshot_epoch: 20
+weights: output/ppyoloe_plus_crn_s_80e_coco/model_final
+
+pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_m_obj365_pretrained.pdparams
+depth_mult: 0.67
+width_mult: 0.75
+
+
+# arch
+architecture: YOLOv3
+norm_type: sync_bn
+use_ema: true
+ema_decay: 0.9998
+custom_black_list: ['reduce_mean']
+
+YOLOv3:
+  backbone: CSPResNet
+  neck: CustomCSPPAN
+  yolo_head: PPYOLOEHead
+  post_process: ~
+
+CSPResNet:
+  layers: [3, 6, 6, 3]
+  channels: [64, 128, 256, 512, 1024]
+  return_idx: [1, 2, 3]
+  use_large_stem: True
+  use_alpha: True
+
+CustomCSPPAN:
+  out_channels: [768, 384, 192]
+  stage_num: 1
+  block_num: 3
+  act: 'swish'
+  spp: true
+  use_alpha: True
+
+PPYOLOEHead:
+  fpn_strides: [32, 16, 8]
+  grid_cell_scale: 5.0
+  grid_cell_offset: 0.5
+  static_assigner_epoch: -1
+  use_varifocal_loss: True
+  loss_weight: {class: 1.0, iou: 2.5, dfl: 0.5}
+  static_assigner:
+    name: ATSSAssigner
+    topk: 9
+  assigner:
+    name: TaskAlignedAssigner
+    topk: 13
+    alpha: 1.0
+    beta: 6.0
+  nms:
+    name: MultiClassNMS
+    nms_top_k: 3000
+    keep_top_k: 1000
+    score_threshold: 0.01
+    nms_threshold: 0.7
+
+
+# reader
+worker_num: 8
+eval_height: &eval_height 960
+eval_width: &eval_width 960
+eval_size: &eval_size [*eval_height, *eval_width]
+
+TrainReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: [3000, 1800], keep_ratio: True, interp: 2}
+    - RandomDistort: {}
+    - RandomCrop: {}
+    - RandomFlip: {}
+  batch_transforms:
+    - BatchRandomResize: {target_size: [480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800, 832, 864, 896, 928, 960, 992, 1024, 1056, 1088, 1120, 1152], random_size: True, random_interp: True, keep_ratio: False}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+    - PadGT: {}
+  batch_size: 8
+  shuffle: true
+  drop_last: true
+  use_shared_memory: true
+  collate_batch: true
+
+EvalReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: *eval_size, keep_ratio: False, interp: 2}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+  batch_size: 2
+
+TestReader:
+  inputs_def:
+    image_shape: [3, *eval_height, *eval_width]
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: *eval_size, keep_ratio: False, interp: 2}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+  batch_size: 1
+
+
+# optimizer
+epoch: 80
+
+LearningRate:
+  base_lr: 0.004
+  schedulers:
+    - !CosineDecay
+      max_epochs: 96
+    - !LinearWarmup
+      start_factor: 0.
+      epochs: 5
+
+OptimizerBuilder:
+  optimizer:
+    momentum: 0.9
+    type: Momentum
+  regularizer:
+    factor: 0.0005
+    type: L2

configs/ppyoloe/application/ppyoloe_plus_crn_s_80e_sku110k.yml

+_BASE_: [
+  './_base_/sku110k.yml',
+  '../../runtime.yml'
+]
+
+log_iter: 10
+snapshot_epoch: 20
+weights: output/ppyoloe_plus_crn_s_80e_coco/model_final
+
+pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_s_obj365_pretrained.pdparams
+depth_mult: 0.33
+width_mult: 0.50
+
+
+# arch
+architecture: YOLOv3
+norm_type: sync_bn
+use_ema: true
+ema_decay: 0.9998
+custom_black_list: ['reduce_mean']
+
+YOLOv3:
+  backbone: CSPResNet
+  neck: CustomCSPPAN
+  yolo_head: PPYOLOEHead
+  post_process: ~
+
+CSPResNet:
+  layers: [3, 6, 6, 3]
+  channels: [64, 128, 256, 512, 1024]
+  return_idx: [1, 2, 3]
+  use_large_stem: True
+  use_alpha: True
+
+CustomCSPPAN:
+  out_channels: [768, 384, 192]
+  stage_num: 1
+  block_num: 3
+  act: 'swish'
+  spp: true
+  use_alpha: True
+
+PPYOLOEHead:
+  fpn_strides: [32, 16, 8]
+  grid_cell_scale: 5.0
+  grid_cell_offset: 0.5
+  static_assigner_epoch: -1
+  use_varifocal_loss: True
+  loss_weight: {class: 1.0, iou: 2.5, dfl: 0.5}
+  static_assigner:
+    name: ATSSAssigner
+    topk: 9
+  assigner:
+    name: TaskAlignedAssigner
+    topk: 13
+    alpha: 1.0
+    beta: 6.0
+  nms:
+    name: MultiClassNMS
+    nms_top_k: 3000
+    keep_top_k: 1000
+    score_threshold: 0.01
+    nms_threshold: 0.7
+
+
+# reader
+worker_num: 8
+eval_height: &eval_height 960
+eval_width: &eval_width 960
+eval_size: &eval_size [*eval_height, *eval_width]
+
+TrainReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: [3000, 1800], keep_ratio: True, interp: 2}
+    - RandomDistort: {}
+    - RandomCrop: {}
+    - RandomFlip: {}
+  batch_transforms:
+    - BatchRandomResize: {target_size: [480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800, 832, 864, 896, 928, 960, 992, 1024, 1056, 1088, 1120, 1152], random_size: True, random_interp: True, keep_ratio: False}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+    - PadGT: {}
+  batch_size: 8
+  shuffle: true
+  drop_last: true
+  use_shared_memory: true
+  collate_batch: true
+
+EvalReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: *eval_size, keep_ratio: False, interp: 2}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+  batch_size: 2
+
+TestReader:
+  inputs_def:
+    image_shape: [3, *eval_height, *eval_width]
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: *eval_size, keep_ratio: False, interp: 2}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+  batch_size: 1
+
+
+# optimizer
+epoch: 80
+
+LearningRate:
+  base_lr: 0.004
+  schedulers:
+    - !CosineDecay
+      max_epochs: 96
+    - !LinearWarmup
+      start_factor: 0.
+      epochs: 5
+
+OptimizerBuilder:
+  optimizer:
+    momentum: 0.9
+    type: Momentum
+  regularizer:
+    factor: 0.0005
+    type: L2

configs/ppyoloe/application/ppyoloe_plus_crn_x_80e_sku110k.yml

+_BASE_: [
+  './_base_/sku110k.yml',
+  '../../runtime.yml'
+]
+
+log_iter: 10
+snapshot_epoch: 20
+weights: output/ppyoloe_plus_crn_s_80e_coco/model_final
+
+pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_x_obj365_pretrained.pdparams
+depth_mult: 1.33
+width_mult: 1.25
+
+
+# arch
+architecture: YOLOv3
+norm_type: sync_bn
+use_ema: true
+ema_decay: 0.9998
+custom_black_list: ['reduce_mean']
+
+YOLOv3:
+  backbone: CSPResNet
+  neck: CustomCSPPAN
+  yolo_head: PPYOLOEHead
+  post_process: ~
+
+CSPResNet:
+  layers: [3, 6, 6, 3]
+  channels: [64, 128, 256, 512, 1024]
+  return_idx: [1, 2, 3]
+  use_large_stem: True
+  use_alpha: True
+
+CustomCSPPAN:
+  out_channels: [768, 384, 192]
+  stage_num: 1
+  block_num: 3
+  act: 'swish'
+  spp: true
+  use_alpha: True
+
+PPYOLOEHead:
+  fpn_strides: [32, 16, 8]
+  grid_cell_scale: 5.0
+  grid_cell_offset: 0.5
+  static_assigner_epoch: -1
+  use_varifocal_loss: True
+  loss_weight: {class: 1.0, iou: 2.5, dfl: 0.5}
+  static_assigner:
+    name: ATSSAssigner
+    topk: 9
+  assigner:
+    name: TaskAlignedAssigner
+    topk: 13
+    alpha: 1.0
+    beta: 6.0
+  nms:
+    name: MultiClassNMS
+    nms_top_k: 3000
+    keep_top_k: 1000
+    score_threshold: 0.01
+    nms_threshold: 0.7
+
+
+# reader
+worker_num: 8
+eval_height: &eval_height 960
+eval_width: &eval_width 960
+eval_size: &eval_size [*eval_height, *eval_width]
+
+TrainReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: [3000, 1800], keep_ratio: True, interp: 2}
+    - RandomDistort: {}
+    - RandomCrop: {}
+    - RandomFlip: {}
+  batch_transforms:
+    - BatchRandomResize: {target_size: [480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800, 832, 864, 896, 928, 960, 992, 1024, 1056, 1088, 1120, 1152], random_size: True, random_interp: True, keep_ratio: False}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+    - PadGT: {}
+  batch_size: 4
+  shuffle: true
+  drop_last: true
+  use_shared_memory: true
+  collate_batch: true
+
+EvalReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: *eval_size, keep_ratio: False, interp: 2}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+  batch_size: 2
+
+TestReader:
+  inputs_def:
+    image_shape: [3, *eval_height, *eval_width]
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: *eval_size, keep_ratio: False, interp: 2}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+  batch_size: 1
+
+
+# optimizer
+epoch: 80
+
+LearningRate:
+  base_lr: 0.002
+  schedulers:
+    - !CosineDecay
+      max_epochs: 96
+    - !LinearWarmup
+      start_factor: 0.
+      epochs: 5
+
+OptimizerBuilder:
+  optimizer:
+    momentum: 0.9
+    type: Momentum
+  regularizer:
+    factor: 0.0005
+    type: L2

configs/ppyoloe/distill/README.md

+# PPYOLOE+ Distillation(PPYOLOE+ 蒸馏)
+
+PaddleDetection提供了对PPYOLOE+ 进行模型蒸馏的方案，结合了logits蒸馏和feature蒸馏。更多蒸馏方案可以查看[slim/distill](../../slim/distill/)。
+
+## 模型库
+
+| 模型               |    方案     | 输入尺寸 | epochs |    Box mAP    |       配置文件    |     下载链接    |
+| ----------------- | ----------- | ------ | :----: | :-----------: | :--------------: | :------------: |
+|   PP-YOLOE+_x     |  teacher   |  640     | 80e   |      54.7     | [config](../ppyoloe_plus_crn_x_80e_coco.yml) | [model](https://bj.bcebos.com/v1/paddledet/models/ppyoloe_plus_crn_x_80e_coco.pdparams) |
+|   PP-YOLOE+_l     |  student   |  640     | 80e   |      52.9     | [config](../ppyoloe_plus_crn_l_80e_coco.yml) | [model](https://bj.bcebos.com/v1/paddledet/models/ppyoloe_plus_crn_l_80e_coco.pdparams) |
+|   PP-YOLOE+_l     |  distill   |  640     | 80e   |   **54.0(+1.1)**  | [config](./ppyoloe_plus_crn_l_80e_coco_distill.yml),[slim_config](../../slim/distill/ppyoloe_plus_distill_x_distill_l.yml)  | [model](https://bj.bcebos.com/v1/paddledet/models/ppyoloe_plus_crn_l_80e_coco_distill.pdparams) |
+|   PP-YOLOE+_l     |  teacher   |  640     | 80e   |      52.9     | [config](../ppyoloe_plus_crn_l_80e_coco.yml) | [model](https://bj.bcebos.com/v1/paddledet/models/ppyoloe_plus_crn_l_80e_coco.pdparams) |
+|   PP-YOLOE+_m     |  student   |  640     | 80e   |      49.8     | [config](../ppyoloe_plus_crn_m_80e_coco.yml) | [model](https://bj.bcebos.com/v1/paddledet/models/ppyoloe_plus_crn_m_80e_coco.pdparams) |
+|   PP-YOLOE+_m     |  distill   |  640     | 80e   |    **51.0(+1.2)**    | [config](./ppyoloe_plus_crn_m_80e_coco_distill.yml),[slim_config](../../slim/distill/ppyoloe_plus_distill_l_distill_m.yml)  | [model](https://bj.bcebos.com/v1/paddledet/models/ppyoloe_plus_crn_m_80e_coco_distill.pdparams) |
+
+## 快速开始
+
+### 训练
+```shell
+# 单卡
+python tools/train.py -c configs/ppyoloe/distill/ppyoloe_plus_crn_l_80e_coco_distill.yml --slim_config configs/slim/distill/ppyoloe_plus_distill_x_distill_l.yml
+# 多卡
+python -m paddle.distributed.launch --log_dir=ppyoloe_plus_distill_x_distill_l/ --gpus 0,1,2,3,4,5,6,7 tools/train.py -c configs/ppyoloe/distill/ppyoloe_plus_crn_l_80e_coco_distill.yml --slim_config configs/slim/distill/ppyoloe_plus_distill_x_distill_l.yml
+```
+
+- `-c`: 指定模型配置文件，也是student配置文件。
+- `--slim_config`: 指定压缩策略配置文件，也是teacher配置文件。
+
+### 评估
+```shell
+python tools/eval.py -c configs/ppyoloe/distill/ppyoloe_plus_crn_l_80e_coco_distill.yml -o weights=output/ppyoloe_plus_crn_l_80e_coco_distill/model_final.pdparams
+```
+
+- `-c`: 指定模型配置文件，也是student配置文件。
+- `--slim_config`: 指定压缩策略配置文件，也是teacher配置文件。
+- `-o weights`: 指定压缩算法训好的模型路径。
+
+### 测试
+```shell
+python tools/infer.py -c configs/ppyoloe/distill/ppyoloe_plus_crn_l_80e_coco_distill.yml -o weights=output/ppyoloe_plus_crn_l_80e_coco_distill/model_final.pdparams --infer_img=demo/000000014439_640x640.jpg
+```
+
+- `-c`: 指定模型配置文件。
+- `--slim_config`: 指定压缩策略配置文件。
+- `-o weights`: 指定压缩算法训好的模型路径。
+- `--infer_img`: 指定测试图像路径。

configs/ppyoloe/distill/ppyoloe_plus_crn_l_80e_coco_distill.yml

+_BASE_: [
+  '../ppyoloe_plus_crn_l_80e_coco.yml',
+]
+for_distill: True
+architecture: PPYOLOE
+PPYOLOE:
+  backbone: CSPResNet
+  neck: CustomCSPPAN
+  yolo_head: PPYOLOEHead
+  post_process: ~
+
+
+worker_num: 4
+TrainReader:
+  sample_transforms:
+    - Decode: {}
+    - RandomDistort: {}
+    - RandomExpand: {fill_value: [123.675, 116.28, 103.53]}
+    - RandomCrop: {}
+    - RandomFlip: {}
+  batch_transforms:
+    - BatchRandomResize: {target_size: [640], random_size: True, random_interp: True, keep_ratio: False}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+    - PadGT: {}
+  batch_size: 8
+  shuffle: True
+  drop_last: True
+  use_shared_memory: True
+  collate_batch: True
+
+
+log_iter: 100
+snapshot_epoch: 5
+weights: output/ppyoloe_plus_crn_l_80e_coco_distill/model_final
+
+pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_l_obj365_pretrained.pdparams
+depth_mult: 1.0
+width_mult: 1.0

configs/ppyoloe/distill/ppyoloe_plus_crn_m_80e_coco_distill.yml

+_BASE_: [
+  '../ppyoloe_plus_crn_m_80e_coco.yml',
+]
+for_distill: True
+architecture: PPYOLOE
+PPYOLOE:
+  backbone: CSPResNet
+  neck: CustomCSPPAN
+  yolo_head: PPYOLOEHead
+  post_process: ~
+
+
+worker_num: 4
+TrainReader:
+  sample_transforms:
+    - Decode: {}
+    - RandomDistort: {}
+    - RandomExpand: {fill_value: [123.675, 116.28, 103.53]}
+    - RandomCrop: {}
+    - RandomFlip: {}
+  batch_transforms:
+    - BatchRandomResize: {target_size: [640], random_size: True, random_interp: True, keep_ratio: False}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+    - PadGT: {}
+  batch_size: 8
+  shuffle: True
+  drop_last: True
+  use_shared_memory: True
+  collate_batch: True
+
+
+log_iter: 100
+snapshot_epoch: 5
+weights: output/ppyoloe_plus_crn_m_80e_coco_distill/model_final
+
+pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_m_obj365_pretrained.pdparams
+depth_mult: 0.67
+width_mult: 0.75

configs/ppyoloe/distill/ppyoloe_plus_crn_s_80e_coco_distill.yml

+_BASE_: [
+  '../ppyoloe_plus_crn_s_80e_coco.yml',
+]
+for_distill: True
+architecture: PPYOLOE
+PPYOLOE:
+  backbone: CSPResNet
+  neck: CustomCSPPAN
+  yolo_head: PPYOLOEHead
+  post_process: ~
+
+
+worker_num: 4
+TrainReader:
+  sample_transforms:
+    - Decode: {}
+    - RandomDistort: {}
+    - RandomExpand: {fill_value: [123.675, 116.28, 103.53]}
+    - RandomCrop: {}
+    - RandomFlip: {}
+  batch_transforms:
+    - BatchRandomResize: {target_size: [640], random_size: True, random_interp: True, keep_ratio: False}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+    - PadGT: {}
+  batch_size: 8
+  shuffle: True
+  drop_last: True
+  use_shared_memory: True
+  collate_batch: True
+
+
+log_iter: 100
+snapshot_epoch: 5
+weights: output/ppyoloe_plus_crn_s_80e_coco_distill/model_final
+
+pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_s_obj365_pretrained.pdparams
+depth_mult: 0.33
+width_mult: 0.50

configs/ppyoloe/objects365/README_cn.md

+# PP-YOLOE
+
+## 模型库
+
+### Objects365数据集模型库
+|       模型       | Epoch |  机器个数 | GPU个数   | 每GPU图片个数 |  骨干网络  |   输入尺寸   | Box AP<sup>0.5 | Params(M) | FLOPs(G) | V100 FP32(FPS) | V100 TensorRT FP16(FPS) |  模型下载  | 配置文件 |
+|:---------------:|:-----:|:-----------:|:-----------:|:-----------:|:---------:|:----------:|:--------------:|:---------:|:---------:|:-------------:|:-----------------------:| :--------:|:--------:|
+|   PP-YOLOE+_s   |  60   |  3 |  8     |    8     | cspresnet-s |    640     |   18.1  |  7.93  |  17.36   |   208.3   |  333.3   | [model](https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_s_obj365_pretrained.pdparams) | [config](./ppyoloe_plus_crn_s_60e_objects365.yml) |
+|   PP-YOLOE+_m   |  60   |   4 |  8     |    8     | cspresnet-m |    640     |   25.0  |  23.43  |  49.91   |   123.4       |  208.3  | [model](https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_m_obj365_pretrained.pdparams) | [config](./ppyoloe_plus_crn_m_60e_objects365.yml) |
+|   PP-YOLOE+_l   |  60   |   3 |  8     |    8     | cspresnet-l |    640     |   30.8  |  52.20 |  110.07  |   78.1    |  149.2   | [model](https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_l_obj365_pretrained.pdparams) | [config](./ppyoloe_plus_crn_l_60e_objects365.yml) |
+|   PP-YOLOE+_x   |  60   |  4 |   8     |    8     | cspresnet-x |    640     |   32.7  |  98.42 |  206.59      |   45.0        |  95.2  | [model](https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_x_obj365_pretrained.pdparams) | [config](./ppyoloe_plus_crn_x_60e_objects365.yml) |
+
+
+**注意:**
+- 多机训练细节见[文档](../../../docs/tutorials/DistributedTraining_cn.md)
+- Objects365数据集下载请参考[objects365官网](http://www.objects365.org/overview.html)。具体种类列表可下载由PaddleDetection团队整理的[objects365_detection_label_list.txt](https://bj.bcebos.com/v1/paddledet/data/objects365/objects365_detection_label_list.txt)并存放在`dataset/objects365/`，每一行即表示第几个种类。inference或导出模型时需要读取到种类数，如果没有标注json文件时，可以进行如下更改`configs/datasets/objects365_detection.yml`：
+```
+TestDataset:
+  !ImageFolder
+    # anno_path: annotations/zhiyuan_objv2_val.json
+    anno_path: objects365_detection_label_list.txt
+    dataset_dir: dataset/objects365/
+```

configs/ppyoloe/objects365/ppyoloe_plus_crn_l_60e_objects365.yml

+_BASE_: [
+  '../../datasets/objects365_detection.yml',
+  '../../runtime.yml',
+  '../_base_/optimizer_60e.yml',
+  '../_base_/ppyoloe_plus_crn.yml',
+  '../_base_/ppyoloe_plus_reader.yml',
+]
+
+log_iter: 100
+snapshot_epoch: 5
+weights: output/ppyoloe_plus_crn_l_60e_objects365/model_final
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_l_pretrained.pdparams
+
+CSPResNet:
+  use_alpha: False
+
+PPYOLOEHead:
+  static_assigner_epoch: 20
+
+depth_mult: 1.0
+width_mult: 1.0

configs/ppyoloe/objects365/ppyoloe_plus_crn_m_60e_objects365.yml

+_BASE_: [
+  '../../datasets/objects365_detection.yml',
+  '../../runtime.yml',
+  '../_base_/optimizer_60e.yml',
+  '../_base_/ppyoloe_plus_crn.yml',
+  '../_base_/ppyoloe_plus_reader.yml',
+]
+
+log_iter: 100
+snapshot_epoch: 5
+weights: output/ppyoloe_plus_crn_m_60e_objects365/model_final
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_m_pretrained.pdparams
+
+CSPResNet:
+  use_alpha: False
+
+PPYOLOEHead:
+  static_assigner_epoch: 20
+
+depth_mult: 0.67
+width_mult: 0.75

configs/ppyoloe/objects365/ppyoloe_plus_crn_s_60e_objects365.yml

+_BASE_: [
+  '../../datasets/objects365_detection.yml',
+  '../../runtime.yml',
+  '../_base_/optimizer_60e.yml',
+  '../_base_/ppyoloe_plus_crn.yml',
+  '../_base_/ppyoloe_plus_reader.yml',
+]
+
+log_iter: 100
+snapshot_epoch: 5
+weights: output/ppyoloe_plus_crn_s_60e_objects365/model_final
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_s_pretrained.pdparams
+
+CSPResNet:
+  use_alpha: False
+
+PPYOLOEHead:
+  static_assigner_epoch: 20
+
+depth_mult: 0.33
+width_mult: 0.50

configs/ppyoloe/objects365/ppyoloe_plus_crn_x_60e_objects365.yml

+_BASE_: [
+  '../../datasets/objects365_detection.yml',
+  '../../runtime.yml',
+  '../_base_/optimizer_60e.yml',
+  '../_base_/ppyoloe_plus_crn.yml',
+  '../_base_/ppyoloe_plus_reader.yml',
+]
+
+log_iter: 100
+snapshot_epoch: 5
+weights: output/ppyoloe_plus_crn_x_60e_objects365/model_final
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_x_pretrained.pdparams
+
+CSPResNet:
+  use_alpha: False
+
+PPYOLOEHead:
+  static_assigner_epoch: 20
+
+depth_mult: 1.33
+width_mult: 1.25

configs/ppyoloe/ppyoloe_crn_l_300e_coco.yml

+_BASE_: [
+  '../datasets/coco_detection.yml',
+  '../runtime.yml',
+  './_base_/optimizer_300e.yml',
+  './_base_/ppyoloe_crn.yml',
+  './_base_/ppyoloe_reader.yml',
+]
+
+log_iter: 100
+snapshot_epoch: 10
+weights: output/ppyoloe_crn_l_300e_coco/model_final
+
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_l_pretrained.pdparams
+depth_mult: 1.0
+width_mult: 1.0

configs/ppyoloe/ppyoloe_crn_l_36e_coco_xpu.yml

+_BASE_: [
+  '../datasets/coco_detection.yml',
+  '../runtime.yml',
+  './_base_/optimizer_36e_xpu.yml',
+  './_base_/ppyoloe_reader.yml',
+]
+
+# note: these are default values (use_gpu = true and use_xpu = false) for CI.
+# set use_gpu = false and use_xpu = true for training.
+use_gpu: true
+use_xpu: false
+
+log_iter: 100
+snapshot_epoch: 1
+weights: output/ppyoloe_crn_l_36e_coco/model_final
+find_unused_parameters: True
+
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_l_pretrained.pdparams
+depth_mult: 1.0
+width_mult: 1.0
+
+TrainReader:
+  batch_size: 8
+
+architecture: YOLOv3
+norm_type: sync_bn
+use_ema: true
+ema_decay: 0.9998
+ema_black_list: ['proj_conv.weight']
+custom_black_list: ['reduce_mean']
+
+YOLOv3:
+  backbone: CSPResNet
+  neck: CustomCSPPAN
+  yolo_head: PPYOLOEHead
+  post_process: ~
+
+CSPResNet:
+  layers: [3, 6, 6, 3]
+  channels: [64, 128, 256, 512, 1024]
+  return_idx: [1, 2, 3]
+  use_large_stem: True
+
+CustomCSPPAN:
+  out_channels: [768, 384, 192]
+  stage_num: 1
+  block_num: 3
+  act: 'swish'
+  spp: true
+
+PPYOLOEHead:
+  fpn_strides: [32, 16, 8]
+  grid_cell_scale: 5.0
+  grid_cell_offset: 0.5
+  static_assigner_epoch: 4
+  use_varifocal_loss: True
+  loss_weight: {class: 1.0, iou: 2.5, dfl: 0.5}
+  static_assigner:
+    name: ATSSAssigner
+    topk: 9
+  assigner:
+    name: TaskAlignedAssigner
+    topk: 13
+    alpha: 1.0
+    beta: 6.0
+  nms:
+    name: MultiClassNMS
+    nms_top_k: 1000
+    keep_top_k: 300
+    score_threshold: 0.01
+    nms_threshold: 0.7

configs/ppyoloe/ppyoloe_crn_m_300e_coco.yml

+_BASE_: [
+  '../datasets/coco_detection.yml',
+  '../runtime.yml',
+  './_base_/optimizer_300e.yml',
+  './_base_/ppyoloe_crn.yml',
+  './_base_/ppyoloe_reader.yml',
+]
+
+log_iter: 100
+snapshot_epoch: 10
+weights: output/ppyoloe_crn_m_300e_coco/model_final
+
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_m_pretrained.pdparams
+depth_mult: 0.67
+width_mult: 0.75

configs/ppyoloe/ppyoloe_crn_s_300e_coco.yml

+_BASE_: [
+  '../datasets/coco_detection.yml',
+  '../runtime.yml',
+  './_base_/optimizer_300e.yml',
+  './_base_/ppyoloe_crn.yml',
+  './_base_/ppyoloe_reader.yml',
+]
+
+log_iter: 100
+snapshot_epoch: 10
+weights: output/ppyoloe_crn_s_300e_coco/model_final
+
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_s_pretrained.pdparams
+depth_mult: 0.33
+width_mult: 0.50

configs/ppyoloe/ppyoloe_crn_s_400e_coco.yml

+_BASE_: [
+  '../datasets/coco_detection.yml',
+  '../runtime.yml',
+  './_base_/optimizer_400e.yml',
+  './_base_/ppyoloe_crn.yml',
+  './_base_/ppyoloe_reader.yml',
+]
+
+log_iter: 100
+snapshot_epoch: 10
+weights: output/ppyoloe_crn_s_400e_coco/model_final
+
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_s_pretrained.pdparams
+depth_mult: 0.33
+width_mult: 0.50
+
+PPYOLOEHead:
+  static_assigner_epoch: 133

configs/ppyoloe/ppyoloe_crn_x_300e_coco.yml

+_BASE_: [
+  '../datasets/coco_detection.yml',
+  '../runtime.yml',
+  './_base_/optimizer_300e.yml',
+  './_base_/ppyoloe_crn.yml',
+  './_base_/ppyoloe_reader.yml',
+]
+
+log_iter: 100
+snapshot_epoch: 10
+weights: output/ppyoloe_crn_x_300e_coco/model_final
+
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/CSPResNetb_x_pretrained.pdparams
+depth_mult: 1.33
+width_mult: 1.25

configs/ppyoloe/ppyoloe_plus_crn_l_80e_coco.yml

+_BASE_: [
+  '../datasets/coco_detection.yml',
+  '../runtime.yml',
+  './_base_/optimizer_80e.yml',
+  './_base_/ppyoloe_plus_crn.yml',
+  './_base_/ppyoloe_plus_reader.yml',
+]
+
+log_iter: 100
+snapshot_epoch: 5
+weights: output/ppyoloe_plus_crn_l_80e_coco/model_final
+
+pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_l_obj365_pretrained.pdparams
+depth_mult: 1.0
+width_mult: 1.0

configs/ppyoloe/ppyoloe_plus_crn_m_80e_coco.yml

+_BASE_: [
+  '../datasets/coco_detection.yml',
+  '../runtime.yml',
+  './_base_/optimizer_80e.yml',
+  './_base_/ppyoloe_plus_crn.yml',
+  './_base_/ppyoloe_plus_reader.yml',
+]
+
+log_iter: 100
+snapshot_epoch: 5
+weights: output/ppyoloe_plus_crn_m_80e_coco/model_final
+
+pretrain_weights: https://bj.bcebos.com/v1/paddledet/models/pretrained/ppyoloe_crn_m_obj365_pretrained.pdparams
+depth_mult: 0.67
+width_mult: 0.75