add PicoDet voc config (#4443)

configs/picodet/README.md

@@ -20,9 +20,6 @@ We developed a series of lightweight models, named `PP-PicoDet`. Because of the
 - [ ] Pretrained models for more scenarios.
 - [ ] More features in need.
 
-## Requirements
-- PaddlePaddle >= 2.1.2
-
 ## Benchmark
 
 | Model     | Input size | mAP<sup>val<br>0.5:0.95 | mAP<sup>val<br>0.5 | Params<br><sup>(M) | FLOPS<br><sup>(G) | Latency<sup><small>[NCNN](#latency)</small><sup><br><sup>(ms) | Latency<sup><small>[Lite](#latency)</small><sup><br><sup>(ms) |  download  | config |
@@ -69,6 +66,62 @@ We developed a series of lightweight models, named `PP-PicoDet`. Because of the
 | YOLOv5s |  640*640       |          37.2             |    56.0            |    7.2                |    16.5             |    78.05                          |
 
 
+## Quick Start
+
+<details open>
+<summary>Requirements:</summary>
+
+- PaddlePaddle >= 2.1.2
+
+</details>
+
+<details>
+<summary>Installation</summary>
+
+- [Installation guide](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/docs/tutorials/INSTALL.md)
+- [Prepare dataset](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/docs/tutorials/PrepareDataSet_en.md)
+
+</details>
+
+<details>
+<summary>Training and Evaluation</summary>
+
+- Training model on single-GPU:
+
+```shell
+# training on single-GPU
+export CUDA_VISIBLE_DEVICES=0
+python tools/train.py -c configs/picodet/picodet_s_320_coco.yml --eval
+```
+
+- Training model on multi-GPU:
+
+
+```shell
+# training on single-GPU
+export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
+python -m paddle.distributed.launch --gpus 0,1,2,3,4,5,6,7 tools/train.py -c configs/picodet/picodet_s_320_coco.yml --eval
+```
+
+- Evaluation:
+
+```shell
+python tools/eval.py -c configs/picodet/picodet_s_320_coco.yml \
+              -o weights=https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
+```
+
+- Infer:
+
+```shell
+python tools/infer.py -c configs/picodet/picodet_s_320_coco.yml \
+              -o weights=https://paddledet.bj.bcebos.com/models/picodet_s_320_coco.pdparams
+```
+
+Detail also can refer to [Quick start guide](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/docs/tutorials/GETTING_STARTED.md).
+
+</details>
+
+
 ## Deployment
 
 ### Export and Convert Model

configs/picodet/picodet_s_320_voc.yml

+_BASE_: [
+  '../datasets/voc.yml',
+  '../runtime.yml',
+  '_base_/picodet_esnet.yml',
+  '_base_/optimizer_300e.yml',
+  '_base_/picodet_320_reader.yml',
+]
+
+pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ESNet_x0_75_pretrained.pdparams
+weights: output/picodet_s_320_coco/model_final
+find_unused_parameters: True
+use_ema: true
+cycle_epoch: 40
+snapshot_epoch: 10
+
+ESNet:
+  scale: 0.75
+  feature_maps: [4, 11, 14]
+  act: hard_swish
+  channel_ratio: [0.875, 0.5, 0.5, 0.5, 0.625, 0.5, 0.625, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5]
+
+CSPPAN:
+  out_channels: 96
+
+PicoHead:
+  conv_feat:
+    name: PicoFeat
+    feat_in: 96
+    feat_out: 96
+    num_convs: 2
+    num_fpn_stride: 4
+    norm_type: bn
+    share_cls_reg: True
+  feat_in_chan: 96
+
+EvalReader:
+  collate_batch: false