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c++ 部署时遇到这个问题
OpenCV(4.6.0) Error: Assertion failed (total(srcShape, srcRange.start, srcRange.end) == maskTotal) in cv::dnn::computeShapeByReshapeMask, file c:\build\master_winpack-build-win64-vc15\opencv\modules\dnn\src\layers\reshape_layer.cpp, line 108 大佬们遇到过吗？
How can convert to ncnn param and bin files
hello, thanks for your great work! I convert the onnx file to ncnn format, i get the unsupported slice step, how can i to fix it?
onnxruntime 部署部分为什么是将角度作为类回归，这样我测试了没有原本模型检测准确度
def preprocess(self, img, new_shape):
img = self.letterbox(img, new_shape, auto=False)[0]
img = img.transpose((2, 0, 1))[::-1] # HWC to CHW, BGR to RGB
img = np.ascontiguousarray(img).astype('float32')
img /= 255 # 0 - 255 to 0.0 - 1.0
if len(img.shape) == 3:
img = img[None] # expand for batch dim
return img
def postprecess(self, prediction, src_img, new_shape):
nc = prediction.shape[2] - 5 - 180 # number of classes
xc = prediction[..., 4] > CONF_THRES
outputs = prediction[:][xc]
generate_boxes, bboxes, scores = [], [], []
for out in outputs:
cx, cy, longside, shortside, obj_score = out[:5]
class_scores = out[5: 5+nc]
class_idx = np.argmax(class_scores)
max_class_score = class_scores[class_idx] * obj_score
if max_class_score < CONF_THRES:
continue
theta_scores = out[5+nc:]
theta_idx = np.argmax(theta_scores)
theta_pred = (theta_idx - 90) / 180 * PI
bboxes.append([[cx, cy], [longside, shortside], max_class_score])
scores.append(max_class_score)
generate_boxes.append([
cx, cy, longside, shortside,
theta_pred, max_class_score, class_idx
])
indices = cv2.dnn.NMSBoxesRotated(
bboxes, scores, CONF_THRES, NMS_THRES
)
det = np.array(generate_boxes)[indices.flatten()]
pred_poly = self.rbox2poly(det[:, :5])
pred_poly = self.scale_polys(new_shape, pred_poly, src_img.shape)
det = np.concatenate((pred_poly, det[:, -2:]), axis=1) # (n, [poly conf cls])
for *poly, conf, cls in reversed(det):
c = int(cls)
label = f'{CLASSES[c]} {conf:.2f}'
self.poly_label(src_img, poly, label, COLORS[c])
cv2.imshow('Result', src_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
Matching PyTorch and Cuda versions
Trying to run your project on Google Colab. Your "install torch 1.12.0+cu116" line gives me an error:
RuntimeError:
The detected CUDA version (12.2) mismatches the version that was used to compile
PyTorch (11.6). Please make sure to use the same CUDA versions.
This seems to be an error I have gotten before on other projects. The Colab environment is updated at some point, and the combo's of software don't match the cuda available.
indices should be either on cpu or on the same device as the indexed tensor (cpu)
哥，请问这个报错咋解决表情包
Traceback (most recent call last):
File "D:\CHENGXUKU\yolov5_obb\train.py", line 633, in
main(opt)
File "D:\CHENGXUKU\yolov5_obb\train.py", line 530, in main
train(opt.hyp, opt, device, callbacks)
File "D:\CHENGXUKU\yolov5_obb\train.py", line 373, in train
compute_loss=compute_loss)
File "D:\anaconda\envs\yolo\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, *kwargs)
File "D:\CHENGXUKU\yolov5_obb\val.py", line 206, in run
out = non_max_suppression_obb(out, conf_thres, iou_thres, labels=lb, multi_label=True, agnostic=single_cls) # list(n, [xylsθ, conf, cls]) θ ∈ [-pi/2, pi/2)
File "D:\CHENGXUKU\yolov5_obb\utils\general.py", line 854, in non_max_suppression_obb
_, i = obb_nms(rboxes, scores, iou_thres)
File "D:\CHENGXUKU\yolov5_obb\utils\nms_rotated\nms_rotated_wrapper.py", line 37, in obb_nms
ori_inds = ori_inds[~too_small]
RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu)
是在训练时第一轮报错的
deploy/onnxruntime/python/main.py的cv2.dnn.NMSBoxesRotated传参有问题，box没有角度信息。
作者，您好！感谢您的工作。关于cv2.dnn.NMSBoxesRotated这一块，代码中是否存在问题？传进去的box没有角度信息。
盼望您的解答。谢谢！
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