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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-02-26 13:52:03 +01:00
parent a2b3e18fc1
commit 707d6ea965
1 changed files with 7 additions and 7 deletions
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14
test.py
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@ -70,16 +70,16 @@ def test(
# Save JSON # Save JSON
if save_json: if save_json:
# rescale box to original image size, top left origin # rescale box to original image size, top left origin
sbox = torch.from_numpy(detections[:, :4]).clone() # x1y1x2y2 box = torch.from_numpy(detections[:, :4]).clone() # x1y1x2y2
scale_coords(img_size, sbox, shapes[si]) scale_coords(img_size, box, shapes[si])
sbox = xyxy2xywh(sbox) box = xyxy2xywh(box)
sbox[:, :2] -= sbox[:, 2:] / 2 # origin from center to corner box[:, :2] -= box[:, 2:] / 2 # origin center to corner
for di, d in enumerate(detections): for di, d in enumerate(detections):
jdict.append({ # add to json dictionary jdict.append({ # add to json dictionary
'image_id': int(Path(paths[si]).stem.split('_')[-1]), 'image_id': int(Path(paths[si]).stem.split('_')[-1]),
'category_id': darknet2coco_class(int(d[6])), 'category_id': darknet2coco_class(int(d[6])),
'bbox': [float3(x) for x in sbox[di]], 'bbox': [float3(x) for x in box[di]],
'score': float3(d[4] * d[5]) 'score': float3(d[4] * d[5])
}) })
@ -174,7 +174,7 @@ if __name__ == '__main__':
parser.add_argument('--iou-thres', type=float, default=0.5, help='iou threshold required to qualify as detected') parser.add_argument('--iou-thres', type=float, default=0.5, help='iou threshold required to qualify as detected')
parser.add_argument('--conf-thres', type=float, default=0.3, help='object confidence threshold') parser.add_argument('--conf-thres', type=float, default=0.3, 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('--coco-map', action='store_true', help='use pycocotools mAP') 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='size of each image dimension')
opt = parser.parse_args() opt = parser.parse_args()
print(opt, end='\n\n') print(opt, end='\n\n')
@ -189,7 +189,7 @@ if __name__ == '__main__':
opt.iou_thres, opt.iou_thres,
opt.conf_thres, opt.conf_thres,
opt.nms_thres, opt.nms_thres,
opt.coco_map opt.save_json
) )
# Image Total P R mAP # YOLOv3 320 # Image Total P R mAP # YOLOv3 320