You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
After training the model, I exported it in both OpenVINO and Torch formats. The order of export appears to significantly affect the results.
Case 1: Exporting to Torch first, followed by OpenVINO, produces visually different results.
Case 2: Exporting to OpenVINO first, followed by Torch, produces visually identical results. It seems that OpenVINO overwrites some shared data, which then affects the subsequent Torch export.
Dataset: drive Notes
• For the OpenVINO Inferencer, the input must be images read using cv2.
• For the Torch Inferencer, the input requires the image path.
• Both inferencers are configured to run on the CPU.
Describe the bug
After training the model, I exported it in both OpenVINO and Torch formats. The order of export appears to significantly affect the results.
Case 1:
Torch Inference:
OpenVino Inference:
Case 2:
Torch Inference:
OpenVino Inference:
By doing something like this, the case 2 (first openvino then torch) give the results of case 1
Full code
Dataset: drive
Notes
• For the OpenVINO Inferencer, the input must be images read using cv2.
• For the Torch Inferencer, the input requires the image path.
• Both inferencers are configured to run on the CPU.
Dataset
Other (please specify in the text field below)
Model
PatchCore
Steps to reproduce the behavior
See above
OS information
OS information:
Expected behavior
Not sure, I suppose the exported models should have almost equal result in both OpenVINO and Torch
Screenshots
No response
Pip/GitHub
GitHub
What version/branch did you use?
1.2.0.dev0
Configuration YAML
Logs
Code of Conduct
The text was updated successfully, but these errors were encountered: