mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-16 05:30:58 +08:00
[Other] Add accuracy evaluation scripts (#1034)
* add accuracy scripts * add accuracy scripts * Add FlyCV doc * fix conflict * fix conflict * fix conflict
This commit is contained in:
67
tests/acc_eval/detection/eval_picodet.py
Normal file
67
tests/acc_eval/detection/eval_picodet.py
Normal file
@@ -0,0 +1,67 @@
|
||||
import fastdeploy as fd
|
||||
import cv2
|
||||
import os
|
||||
|
||||
|
||||
def parse_arguments():
|
||||
import argparse
|
||||
import ast
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument(
|
||||
"--model_dir",
|
||||
default=None,
|
||||
help="Path of PaddleDetection model directory")
|
||||
parser.add_argument(
|
||||
"--image", default=None, help="Path of test image file.")
|
||||
parser.add_argument(
|
||||
"--device",
|
||||
type=str,
|
||||
default='cpu',
|
||||
help="Type of inference device, support 'cpu' or 'gpu'.")
|
||||
parser.add_argument(
|
||||
"--use_trt",
|
||||
type=ast.literal_eval,
|
||||
default=False,
|
||||
help="Wether to use tensorrt.")
|
||||
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()
|
||||
|
||||
if args.use_trt:
|
||||
option.use_trt_backend()
|
||||
return option
|
||||
|
||||
|
||||
args = parse_arguments()
|
||||
|
||||
if args.model_dir is None:
|
||||
model_dir = fd.download_model(name='picodet_l_320_coco_lcnet')
|
||||
else:
|
||||
model_dir = args.model_dir
|
||||
|
||||
model_file = os.path.join(model_dir, "model.pdmodel")
|
||||
params_file = os.path.join(model_dir, "model.pdiparams")
|
||||
config_file = os.path.join(model_dir, "infer_cfg.yml")
|
||||
|
||||
# 配置runtime,加载模型
|
||||
runtime_option = build_option(args)
|
||||
model = fd.vision.detection.PicoDet(
|
||||
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)
|
Reference in New Issue
Block a user