-
Notifications
You must be signed in to change notification settings - Fork 475
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
[Example] Merge Download Paddle Model, Paddle->ONNX, ONNX -> MLIR, ML…
…IR -> BModel into infer.py (#1622) fix infer.py and README Co-authored-by: DefTruth <[email protected]>
- Loading branch information
Showing
3 changed files
with
90 additions
and
14 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
89 changes: 79 additions & 10 deletions
89
examples/vision/classification/paddleclas/sophgo/python/infer.py
100644 → 100755
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,41 +1,110 @@ | ||
| import fastdeploy as fd | ||
| import cv2 | ||
| import os | ||
|
|
||
| from subprocess import run | ||
|
|
||
| def parse_arguments(): | ||
| import argparse | ||
| import ast | ||
| parser = argparse.ArgumentParser() | ||
| parser.add_argument("--model", required=True, help="Path of model.") | ||
| parser.add_argument( | ||
| "--config_file", required=True, help="Path of config file.") | ||
| parser.add_argument("--auto", required=True, help="Auto download, convert, compile and infer if True") | ||
| parser.add_argument("--model", required=True, help="Path of bmodel") | ||
| parser.add_argument("--config_file", required=True, help="Path of config file") | ||
| parser.add_argument( | ||
| "--image", type=str, required=True, help="Path of test image file.") | ||
| parser.add_argument( | ||
| "--topk", type=int, default=1, help="Return topk results.") | ||
|
|
||
| return parser.parse_args() | ||
|
|
||
| def download(): | ||
| cmd_str = 'wget https://bj.bcebos.com/paddlehub/fastdeploy/ResNet50_vd_infer.tgz' | ||
| jpg_str = 'wget https://gitee.com/paddlepaddle/PaddleClas/raw/release/2.4/deploy/images/ImageNet/ILSVRC2012_val_00000010.jpeg' | ||
| tar_str = 'tar xvf ResNet50_vd_infer.tgz' | ||
| if not os.path.exists('ResNet50_vd_infer.tgz'): | ||
| run(cmd_str, shell=True) | ||
| if not os.path.exists('ILSVRC2012_val_00000010.jpeg'): | ||
| run(jpg_str, shell=True) | ||
| run(tar_str, shell=True) | ||
|
|
||
| def paddle2onnx(): | ||
| cmd_str = 'paddle2onnx --model_dir ResNet50_vd_infer \ | ||
| --model_filename inference.pdmodel \ | ||
| --params_filename inference.pdiparams \ | ||
| --save_file ResNet50_vd_infer.onnx \ | ||
| --enable_dev_version True' | ||
| print(cmd_str) | ||
| run(cmd_str, shell=True) | ||
|
|
||
| def mlir_prepare(): | ||
| mlir_path = os.getenv("MODEL_ZOO_PATH") | ||
| mlir_path = mlir_path[:-13] | ||
| cmd_list = ['mkdir ResNet50', | ||
| 'cp -rf ' + os.path.join(mlir_path, 'regression/dataset/COCO2017/') + ' ./ResNet50', | ||
| 'cp -rf ' + os.path.join(mlir_path, 'regression/image/') + ' ./ResNet50', | ||
| 'cp ResNet50_vd_infer.onnx ./ResNet50/', | ||
| 'mkdir ./ResNet50/workspace'] | ||
| for str in cmd_list: | ||
| print(str) | ||
| run(str, shell=True) | ||
|
|
||
| def onnx2mlir(): | ||
| cmd_str = 'model_transform.py \ | ||
| --model_name ResNet50_vd_infer \ | ||
| --model_def ../ResNet50_vd_infer.onnx \ | ||
| --input_shapes [[1,3,224,224]] \ | ||
| --mean 0.0,0.0,0.0 \ | ||
| --scale 0.0039216,0.0039216,0.0039216 \ | ||
| --keep_aspect_ratio \ | ||
| --pixel_format rgb \ | ||
| --output_names save_infer_model/scale_0.tmp_1 \ | ||
| --test_input ../image/dog.jpg \ | ||
| --test_result ./ResNet50_vd_infer_top_outputs.npz \ | ||
| --mlir ./ResNet50_vd_infer.mlir' | ||
| print(cmd_str) | ||
| os.chdir('./ResNet50/workspace/') | ||
| run(cmd_str, shell=True) | ||
| os.chdir('../../') | ||
|
|
||
| def mlir2bmodel(): | ||
| cmd_str = 'model_deploy.py \ | ||
| --mlir ./ResNet50_vd_infer.mlir \ | ||
| --quantize F32 \ | ||
| --chip bm1684x \ | ||
| --test_input ./ResNet50_vd_infer_in_f32.npz \ | ||
| --test_reference ./ResNet50_vd_infer_top_outputs.npz \ | ||
| --model ./ResNet50_vd_infer_1684x_f32.bmodel' | ||
| print(cmd_str) | ||
| os.chdir('./ResNet50/workspace') | ||
| run(cmd_str, shell=True) | ||
| os.chdir('../../') | ||
|
|
||
|
|
||
| args = parse_arguments() | ||
|
|
||
| # 配置runtime，加载模型 | ||
| if(args.auto): | ||
| download() | ||
| paddle2onnx() | ||
| mlir_prepare() | ||
| onnx2mlir() | ||
| mlir2bmodel() | ||
|
|
||
| # config runtime and load the model | ||
| runtime_option = fd.RuntimeOption() | ||
| runtime_option.use_sophgo() | ||
|
|
||
| model_file = args.model | ||
| model_file = './ResNet50/workspace/ResNet50_vd_infer_1684x_f32.bmodel' if args.auto else args.model | ||
| params_file = "" | ||
| config_file = args.config_file | ||
|
|
||
| config_file = './ResNet50_vd_infer/inference_cls.yaml' if args.auto else args.config_file | ||
| image_file = './ILSVRC2012_val_00000010.jpeg' if args.auto else args.image | ||
| model = fd.vision.classification.PaddleClasModel( | ||
| model_file, | ||
| params_file, | ||
| config_file, | ||
| runtime_option=runtime_option, | ||
| model_format=fd.ModelFormat.SOPHGO) | ||
|
|
||
| # 预测图片分类结果 | ||
| im = cv2.imread(args.image) | ||
| # predict the results of image classification | ||
| im = cv2.imread(image_file) | ||
| result = model.predict(im, args.topk) | ||
| print(result) |