mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-31 11:56:44 +08:00
34bea7649d
* Add Sophgo Device add sophgo backend in fastdeploy add resnet50, yolov5s, liteseg examples. * replace sophgo lib with download links; fix model.cc bug * modify CodeStyle * remove unuseful files;change the names of sophgo device and sophgo backend * sophgo support python and add python examples * remove unuseful rows in cmake according pr Co-authored-by: Zilong Xing <zilong.xing@sophgo.com>
42 lines
1.0 KiB
Python
42 lines
1.0 KiB
Python
import fastdeploy as fd
|
||
import cv2
|
||
import os
|
||
|
||
|
||
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(
|
||
"--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()
|
||
|
||
|
||
args = parse_arguments()
|
||
|
||
# 配置runtime，加载模型
|
||
runtime_option = fd.RuntimeOption()
|
||
runtime_option.use_sophgo()
|
||
|
||
model_file = args.model
|
||
params_file = ""
|
||
config_file = args.config_file
|
||
|
||
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)
|
||
result = model.predict(im, args.topk)
|
||
print(result)
|