Bienqq
/
car-detection-bayes
2
1
Fork 0
Code Issues Pull Requests Releases Wiki Activity

updates

This commit is contained in:
Glenn Jocher 2019-02-08 23:28:00 +01:00
parent 08f051c1d4
commit 30e67cb8b1
1 changed files with 6 additions and 22 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

28
detect.py
View File

@ -8,17 +8,8 @@ from utils.utils import *
from utils import torch_utils from utils import torch_utils
def detect( def detect(cfg, weights, images, output='output', img_size=416, conf_thres=0.3, nms_thres=0.45,
cfg, save_txt=False, save_images=True):
weights,
images_path,
output='output',
img_size=416,
conf_thres=0.3,
nms_thres=0.45,
save_txt=False,
save_images=True,
):
device = torch_utils.select_device() device = torch_utils.select_device()
os.system('rm -rf ' + output) os.system('rm -rf ' + output)
@ -37,7 +28,7 @@ def detect(
model.to(device).eval() model.to(device).eval()
# Set Dataloader # Set Dataloader
dataloader = load_images(images_path, img_size=img_size) dataloader = load_images(images, img_size=img_size)
# Classes and colors # Classes and colors
classes = load_classes(parse_data_cfg('cfg/coco.data')['names']) # Extracts class labels from file classes = load_classes(parse_data_cfg('cfg/coco.data')['names']) # Extracts class labels from file
@ -109,20 +100,13 @@ def detect(
if __name__ == '__main__': if __name__ == '__main__':
parser = argparse.ArgumentParser() parser = argparse.ArgumentParser()
parser.add_argument('--image-folder', type=str, default='data/samples', help='path to images')
parser.add_argument('--cfg', type=str, default='cfg/yolov3.cfg', help='cfg file path') parser.add_argument('--cfg', type=str, default='cfg/yolov3.cfg', help='cfg file path')
parser.add_argument('--weights', type=str, default='weights/yolov3.pt', help='path to weights file') parser.add_argument('--weights', type=str, default='weights/yolov3.pt', help='path to weights file')
parser.add_argument('--images', type=str, default='data/samples', help='path to images')
parser.add_argument('--img-size', type=int, default=32 * 13, help='size of each image dimension')
parser.add_argument('--conf-thres', type=float, default=0.50, help='object confidence threshold') parser.add_argument('--conf-thres', type=float, default=0.50, help='object confidence threshold')
parser.add_argument('--nms-thres', type=float, default=0.45, help='iou threshold for non-maximum suppression') parser.add_argument('--nms-thres', type=float, default=0.45, help='iou threshold for non-maximum suppression')
parser.add_argument('--img-size', type=int, default=32 * 13, help='size of each image dimension')
opt = parser.parse_args() opt = parser.parse_args()
print(opt) print(opt)
detect( detect(opt.cfg, opt.weights, opt.images, img_size=opt.img_size, conf_thres=opt.conf_thres, nms_thres=opt.nms_thres)
opt.cfg,
opt.weights,
opt.image_folder,
img_size=opt.img_size,
conf_thres=opt.conf_thres,
nms_thres=opt.nms_thres,
)