What Do I Do If an Image Error Occurred During Model Training Using ExeML?
If an image classification or object detection algorithm of ExeML is used, after the labeled data is trained, the training result is an image error. Table 1 lists solutions to different errors.
No. |
Error Parameter |
Error Description |
Solution Parameter |
Solution Description |
---|---|---|---|---|
1 |
load failed |
The image cannot be decoded or restored. |
ignore |
The system has ignored this image. No manual operation is required. |
2 |
tf-decode failed |
The image cannot be decoded by TensorFlow or restored. |
ignore |
The system has ignored this image. No manual operation is required. |
3 |
size over |
The image size exceeded 5 MB. |
resize to small |
The system has compressed the image size to be less than 5 MB. No manual operation is required. |
4 |
mode illegal |
The image is not in RGB format. |
convert to rgb |
The system has converted the image to the RGB format. No manual operation is required. |
5 |
type illegal |
The file is not an image but can be converted to JPG. |
convert to jpg |
The system has converted the image to the JPG format. No manual operation is required. |
Training Models FAQs
- What Should I Do When the Train Button Is Unavailable After I Create an Image Classification Project and Label the Images?
- How Do I Perform Incremental Training in an ExeML Project?
- Can I Download a Model Trained Using ExeML?
- Why Does ExeML Training Fail?
- What Do I Do If an Image Error Occurred During Model Training Using ExeML?
- What Do I Do If Error ModelArts.0010 Occurred When I Use ExeML to Start Training as an IAM User?
- What Is the Training Speed of Each Parameter in ExeML Training Preference Settings?
- What Do I Do If ERROR:input key sound is not in model Occurred When I Use ExeML for Sound Classification Prediction?
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