adkbbx
commented
4 months ago @xmdszzz
I had the same issue and used the code above to fix it but there is a small problem with the vis() function as it isn't working as expected is because you're creating a new copy of the image img inside the for loop for each bounding box. As a result, each bounding box is drawn on a new copy of the original image, and only the last one is returned.
To fix this, you need to move the line img_copy = np.copy(img) outside the loop, so that you're drawing all bounding boxes on the same image copy.
Here's the corrected version of the vis() function which worked for me:
def vis(img, boxes, scores, cls_ids, conf=0.5, class_names=None):
img_copy = np.copy(img)
for i in range(len(boxes)):
box = boxes[i]
cls_id = int(cls_ids[i])
score = scores[i]
if score < conf:
continue
x0 = int(box[0])
y0 = int(box[1])
x1 = int(box[2])
y1 = int(box[3])
color = (_COLORS[cls_id] * 255).astype(np.uint8).tolist()
text = '{}:{:.1f}%'.format(class_names[cls_id], score * 100)
txt_color = (0, 0, 0) if np.mean(_COLORS[cls_id]) > 0.5 else (255, 255,
255)
font = cv2.FONT_HERSHEY_SIMPLEX
txt_size = cv2.getTextSize(text, font, 0.4, 1)[0]
cv2.rectangle(img_copy, (x0, y0), (x1, y1), color, 2)
txt_bk_color = (_COLORS[cls_id] * 255 * 0.7).astype(np.uint8).tolist()
cv2.rectangle(img_copy, (x0, y0 + 1),
(x0 + txt_size[0] + 1, y0 + int(1.5 * txt_size[1])),
txt_bk_color, -1)
cv2.putText(img_copy,
text, (x0, y0 + txt_size[1]),
font,
0.4,
txt_color,
thickness=1)
return img_copyHope it helps!
xmdszzz
yachunchen
Before Reporting
[X] I have pulled the latest code of main branch to run again and the bug still existed. 我已经拉取了主分支上最新的代码，重新运行之后，问题仍不能解决。
[X] I have read the README carefully and no error occured during the installation process. (Otherwise, we recommand that you can ask a question using the Question template) 我已经仔细阅读了README上的操作指引，并且在安装过程中没有错误发生。（否则，我们建议您使用Question模板向我们进行提问）
Search before reporting
OS
Windows
Device
Nvidia 4070Ti
CUDA version
11.8
TensorRT version
8.6.1.6
Python version
3.8
PyTorch version
2.2.2
torchvision version
0.17.2
Describe the bug
运行推理时，在damo/utils/visualize.py中报错，显示numpy数组是只读的不允许操作。 ` File "E:\proj\DAMO-YOLO\damo\utils\visualize.py", line 30, in vis cv2.rectangle(img, (x0, y0), (x1, y1), color, 2) │ │ │ │ │ │ │ └ [0, 113, 188] │ │ │ │ │ │ └ 261 │ │ │ │ │ └ 322 │ │ │ │ └ 229 │ │ │ └ 309 │ │ └ array([[[255, 255, 255], │ │ [255, 255, 255], │ │ [255, 255, 255], │ │ ..., │ │ [255, 255, 255], │ │ [255... │ └
└ <module 'cv2' from 'C:\Users\chonpsk\.conda\envs\DAMO-YOLO\lib\site-packages\cv2\init.py'>
cv2.error: OpenCV(4.9.0) :-1: error: (-5:Bad argument) in function 'rectangle'
To Reproduce
python demo.py image -f ./configs/damoyolo_tinynasL20_T.py --engine workdirs/damoyolo_tinynasL20_T/epoch_300_ckpt.pth --conf 0.1 --inf er_size 640 640 --device cuda --path datasets/Custom_coco/images/val/66_crop_0.jpg
Hyper-parameters/Configs
使用默认超参数
Logs
2024-04-11 10:13:31.168 | ERROR | main::356 - An error has been caught in function '', process 'MainProcess' (980), thread 'MainThread' (23684):
Traceback (most recent call last):
File "demo.py", line 321, in main vis_res = infer_engine.visualize(origin_img, bboxes, scores, cls_inds, conf=args.conf, save_name=os.path.basename(args.path), save_result=args.save_result) │ │ │ │ │ │ │ │ │ │ │ │ │ │ └ True │ │ │ │ │ │ │ │ │ │ │ │ │ └ Namespace(camid=0, conf=0.6, confi g_file='./configs/damoyolo_tinynasL20_T.py', device='cuda', end2end=False, engine='workdirs... │ │ │ │ │ │ │ │ │ │ │ │ └ 'datasets/Custom_coco/images/val/66_crop_0.jpg'
│ │ │ │ │ │ │ │ │ │ │ └ Namespace(camid=0, conf=0.6, config_file='./configs/damoyo lo_tinynasL20_T.py', device='cuda', end2end=False, engine='workdirs... │ │ │ │ │ │ │ │ │ │ └ <function basename at 0x000001C95AD39EE0> │ │ │ │ │ │ │ │ │ └ <module 'ntpath' from 'C:\Users\chonpsk\.conda\envs\DAMO-YOLO\lib\ \ntpath.py'> │ │ │ │ │ │ │ │ └ <module 'os' from 'C:\Users\chonpsk\.conda\envs\DAMO-YOLO\lib\os.py'
File "demo.py", line 249, in visualize vis_img = vis(image, bboxes, scores, cls_inds, conf, self.class_names) │ │ │ │ │ │ │ └ ['qx'] │ │ │ │ │ │ └ <main.Infer object at 0x000001C95AE46550> │ │ │ │ │ └ 0.6 │ │ │ │ └ tensor([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., │ │ │ │ 0., 0., 0., 0... │ │ │ └ tensor([0.6785, 0.6641, 0.6581, 0.6514, 0.6470, 0.6399, 0.5757, 0.5683, 0.5609, │ │ │ 0.5585, 0.5564, 0.5532, 0.5524, 0.521... │ │ └ tensor([[309.0302, 229.5414, 322.8981, 261.2090], │ │ [267.1926, 28.5143, 280.6399, 46.0551], │ │ [307.3100, 135.57... │ └ array([[[255, 255, 255], │ [255, 255, 255], │ [255, 255, 255], │ ..., │ [255, 255, 255], │ [255... └ <function vis at 0x000001C910064DC0>
File "E:\proj\DAMO-YOLO\damo\utils\visualize.py", line 30, in vis cv2.rectangle(img, (x0, y0), (x1, y1), color, 2) │ │ │ │ │ │ │ └ [0, 113, 188] │ │ │ │ │ │ └ 261 │ │ │ │ │ └ 322 │ │ │ │ └ 229 │ │ │ └ 309 │ │ └ array([[[255, 255, 255], │ │ [255, 255, 255], │ │ [255, 255, 255], │ │ ..., │ │ [255, 255, 255], │ │ [255... │ └
└ <module 'cv2' from 'C:\Users\chonpsk\.conda\envs\DAMO-YOLO\lib\site-packages\cv2\init.py'>
cv2.error: OpenCV(4.9.0) :-1: error: (-5:Bad argument) in function 'rectangle'
Screenshots
No response
Additional
将 vis内对numpy数组拷贝后进行操作解决该问题： `def vis(img, boxes, scores, cls_ids, conf=0.5, class_names=None):