Comments (7)
图片路径无误,软件中可正常加载并显示
from x-anylabeling.
我已确认该问题在issue中未被提出。如题,在anaconda虚拟环境中安装了x-anylabling,操作系统为Windows11,加载的自定义模型使用yolov5s,报错内容如下Error in predict_shapes: OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\resize.cpp:4155: error: (-215:Assertion failed) inv_scale_x > 0 in function 'cv::resize'
您好,这边可以尝试使用常规图片测试下,如assets,排除下是图片本身的问题。
from x-anylabeling.
我已确认该问题在issue中未被提出。如题,在anaconda虚拟环境中安装了x-anylabling,操作系统为Windows11,加载的自定义模型使用yolov5s,报错内容如下Error in predict_shapes: OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\resize.cpp:4155: error: (-215:Assertion failed) inv_scale_x > 0 in function 'cv::resize'
您好,这边可以尝试使用常规图片测试下,如assets,排除下是图片本身的问题。
已经尝试过了,报错问题依旧存在
from x-anylabeling.
这个是自定义模型的yaml文件type: yolov5
name: yolov5s-r20230520
display_name: EDS
model_path: yolov5s.onnx
nms_threshold: 0.45
confidence_threshold: 0.25
classes:
- 1
- 2
- 3
- 4
我已确认该问题在issue中未被提出。如题,在anaconda虚拟环境中安装了x-anylabling,操作系统为Windows11,加载的自定义模型使用yolov5s,报错内容如下Error in predict_shapes: OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\resize.cpp:4155: error: (-215:Assertion failed) inv_scale_x > 0 in function 'cv::resize'
您好,这边可以尝试使用常规图片测试下,如assets,排除下是图片本身的问题。
from x-anylabeling.
这个是自定义模型的yaml文件type: yolov5 name: yolov5s-r20230520 display_name: EDS model_path: yolov5s.onnx nms_threshold: 0.45 confidence_threshold: 0.25 classes:
- 1
- 2
- 3
- 4
我已确认该问题在issue中未被提出。如题,在anaconda虚拟环境中安装了x-anylabling,操作系统为Windows11,加载的自定义模型使用yolov5s,报错内容如下Error in predict_shapes: OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\resize.cpp:4155: error: (-215:Assertion failed) inv_scale_x > 0 in function 'cv::resize'
您好,这边可以尝试使用常规图片测试下,如assets,排除下是图片本身的问题。
内置模型能正常推理吗?
from x-anylabeling.
这个是自定义模型的yaml文件type: yolov5 name: yolov5s-r20230520 display_name: EDS model_path: yolov5s.onnx nms_threshold: 0.45 confidence_threshold: 0.25 classes:
- 1
- 2
- 3
- 4
我已确认该问题在issue中未被提出。如题,在anaconda虚拟环境中安装了x-anylabling,操作系统为Windows11,加载的自定义模型使用yolov5s,报错内容如下Error in predict_shapes: OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\resize.cpp:4155: error: (-215:Assertion failed) inv_scale_x > 0 in function 'cv::resize'
您好,这边可以尝试使用常规图片测试下,如assets,排除下是图片本身的问题。
内置模型能正常推理吗?
内置的可以正常标注,自定义模型也可以正常推理
from x-anylabeling.
这个是自定义模型的yaml文件type: yolov5 name: yolov5s-r20230520 display_name: EDS model_path: yolov5s.onnx nms_threshold: 0.45 confidence_threshold: 0.25 classes:
- 1
- 2
- 3
- 4
我已确认该问题在issue中未被提出。如题,在anaconda虚拟环境中安装了x-anylabling,操作系统为Windows11,加载的自定义模型使用yolov5s,报错内容如下Error in predict_shapes: OpenCV(4.9.0) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\resize.cpp:4155: error: (-215:Assertion failed) inv_scale_x > 0 in function 'cv::resize'
您好,这边可以尝试使用常规图片测试下,如assets,排除下是图片本身的问题。
内置模型能正常推理吗?
内置的可以正常标注,自定义模型也可以正常推理
您好,非常抱歉刚看到你的回复,纯数字类别在定义时需要加入单引号避免转义:
type: yolov5
...
classes:
- '0'
- '1'
- '2'
- '3'
from x-anylabeling.
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