mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-12-24 13:28:13 +08:00
yunyaoXYY
07ad7216f6
* add accuracy scripts * add accuracy scripts * Add FlyCV doc * fix conflict * fix conflict * fix conflict
57 lines
1.5 KiB
Python
57 lines
1.5 KiB
Python
import fastdeploy as fd
|
|
import cv2
|
|
import os
|
|
|
|
|
|
def parse_arguments():
|
|
import argparse
|
|
import ast
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument(
|
|
"--model_dir",
|
|
required=True,
|
|
help="Path of PaddleDetection model directory")
|
|
parser.add_argument(
|
|
"--image", required=True, help="Path of test image file.")
|
|
parser.add_argument(
|
|
"--device",
|
|
type=str,
|
|
default='cpu',
|
|
help="Type of inference device, support 'cpu' or 'gpu'.")
|
|
return parser.parse_args()
|
|
|
|
|
|
def build_option(args):
|
|
option = fd.RuntimeOption()
|
|
if args.device.lower() == "gpu":
|
|
option.use_gpu()
|
|
|
|
if args.device.lower() == "kunlunxin":
|
|
option.use_kunlunxin()
|
|
|
|
if args.device.lower() == "ascend":
|
|
option.use_ascend()
|
|
|
|
return option
|
|
|
|
|
|
args = parse_arguments()
|
|
|
|
model_file = os.path.join(args.model_dir, "model.pdmodel")
|
|
params_file = os.path.join(args.model_dir, "model.pdiparams")
|
|
config_file = os.path.join(args.model_dir, "infer_cfg.yml")
|
|
|
|
# 配置runtime，加载模型
|
|
runtime_option = build_option(args)
|
|
model = fd.vision.detection.SSD(model_file,
|
|
params_file,
|
|
config_file,
|
|
runtime_option=runtime_option)
|
|
|
|
image_file_path = "../dataset/coco/val2017"
|
|
annotation_file_path = "../dataset/coco/annotations/instances_val2017.json"
|
|
|
|
res = fd.vision.evaluation.eval_detection(model, image_file_path,
|
|
annotation_file_path)
|
|
print(res)
|