diff --git a/detect.py b/detect.py index ce1ec7c2..c10f8d8c 100644 --- a/detect.py +++ b/detect.py @@ -11,7 +11,7 @@ def detect( cfg, data_cfg, weights, - images, + images='data/samples', # input folder output='output', # output folder img_size=416, conf_thres=0.5, @@ -122,7 +122,7 @@ if __name__ == '__main__': parser.add_argument('--data-cfg', type=str, default='data/coco.data', help='coco.data file path') parser.add_argument('--weights', type=str, default='weights/yolov3-spp.weights', 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=416, help='size of each image dimension') + parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)') parser.add_argument('--conf-thres', type=float, default=0.5, help='object confidence threshold') parser.add_argument('--nms-thres', type=float, default=0.5, help='iou threshold for non-maximum suppression') opt = parser.parse_args() @@ -133,7 +133,7 @@ if __name__ == '__main__': opt.cfg, opt.data_cfg, opt.weights, - opt.images, + images=opt.images, img_size=opt.img_size, conf_thres=opt.conf_thres, nms_thres=opt.nms_thres diff --git a/test.py b/test.py index 7882be24..fe6392bc 100644 --- a/test.py +++ b/test.py @@ -189,7 +189,7 @@ if __name__ == '__main__': parser.add_argument('--conf-thres', type=float, default=0.001, help='object confidence threshold') parser.add_argument('--nms-thres', type=float, default=0.5, help='iou threshold for non-maximum suppression') parser.add_argument('--save-json', action='store_true', help='save a cocoapi-compatible JSON results file') - parser.add_argument('--img-size', type=int, default=416, help='size of each image dimension') + parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)') opt = parser.parse_args() print(opt, end='\n\n') diff --git a/train.py b/train.py index 80798c0d..5c0bf823 100644 --- a/train.py +++ b/train.py @@ -281,7 +281,7 @@ if __name__ == '__main__': parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path') parser.add_argument('--data-cfg', type=str, default='data/coco.data', help='coco.data file path') parser.add_argument('--multi-scale', action='store_true', help='random image sizes per batch 320 - 608') - parser.add_argument('--img-size', type=int, default=416, help='pixels') + parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)') parser.add_argument('--resume', action='store_true', help='resume training flag') parser.add_argument('--transfer', action='store_true', help='transfer learning flag') parser.add_argument('--num-workers', type=int, default=2, help='number of Pytorch DataLoader workers')