You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
74 lines
2.3 KiB
74 lines
2.3 KiB
from models import TRTModule # isort:skip |
|
import argparse |
|
from pathlib import Path |
|
|
|
import cv2 |
|
import torch |
|
|
|
from config import CLASSES_CLS |
|
from models.utils import blob, path_to_list |
|
|
|
|
|
def main(args: argparse.Namespace) -> None: |
|
device = torch.device(args.device) |
|
Engine = TRTModule(args.engine, device) |
|
H, W = Engine.inp_info[0].shape[-2:] |
|
|
|
images = path_to_list(args.imgs) |
|
save_path = Path(args.out_dir) |
|
|
|
if not args.show and not save_path.exists(): |
|
save_path.mkdir(parents=True, exist_ok=True) |
|
|
|
for image in images: |
|
save_image = save_path / image.name |
|
bgr = cv2.imread(str(image)) |
|
draw = bgr.copy() |
|
bgr = cv2.resize(bgr, (W, H)) |
|
rgb = cv2.cvtColor(bgr, cv2.COLOR_BGR2RGB) |
|
tensor = blob(rgb, return_seg=False) |
|
tensor = torch.asarray(tensor, device=device) |
|
# inference |
|
data = Engine(tensor) |
|
|
|
score, cls_id = data[0].max(0) |
|
score = float(score) |
|
cls_id = int(cls_id) |
|
cls = CLASSES_CLS[cls_id] |
|
|
|
text = f'{cls}:{score:.3f}' |
|
(_w, _h), _bl = cv2.getTextSize(text, cv2.FONT_HERSHEY_SIMPLEX, 0.8, 1) |
|
_y1 = min(10, draw.shape[0]) |
|
|
|
cv2.rectangle(draw, (10, _y1), (10 + _w, _y1 + _h + _bl), (0, 0, 255), -1) |
|
cv2.putText(draw, text, (10, _y1 + _h), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (255, 255, 255), 2) |
|
|
|
if args.show: |
|
cv2.imshow('result', draw) |
|
cv2.waitKey(0) |
|
else: |
|
cv2.imwrite(str(save_image), draw) |
|
|
|
|
|
def parse_args() -> argparse.Namespace: |
|
parser = argparse.ArgumentParser() |
|
parser.add_argument('--engine', type=str, help='Engine file') |
|
parser.add_argument('--imgs', type=str, help='Images file') |
|
parser.add_argument('--show', |
|
action='store_true', |
|
help='Show the detection results') |
|
parser.add_argument('--out-dir', |
|
type=str, |
|
default='./output', |
|
help='Path to output file') |
|
parser.add_argument('--device', |
|
type=str, |
|
default='cuda:0', |
|
help='TensorRT infer device') |
|
args = parser.parse_args() |
|
return args |
|
|
|
|
|
if __name__ == '__main__': |
|
args = parse_args() |
|
main(args)
|
|
|