Test Env:
Chromium Version: build 75.0.3739.0
Platform: Linux Ubuntu 16.04
Expected Result:
The tool can run successfully and print out outputs of per layer for all examples.
Actual Result:
The function utils.iterateLayers are not defined in these examples : skeleton_detection, facial_landmark, object_detection and emotion_analysis.
Note: But even after defining, there will be errors such as "invalid value" for object_detection and "can't read property 'subgraphs' of undefined" for facial_landmark and emotion_analysis. For skeleton_detection, the tool can't run due to the model format. Errors are shown below:
3.Select any model and input "utils.iterateLayers([{backend: 'WebML’, prefer: 'sustained'}],[1])" into the console area of the web page. For facial_landmark, you should input "landmarkDetector.iterateLayers([{backend: 'WebML’, prefer: 'sustained'}],[1])"; for emotion_analysis, you should input "emotionAnalysis.iterateLayers([{backend: 'WebML’, prefer: 'sustained'}],[1])". (The "[1]" is optional.)
ibelem
commented
5 years ago
Test Env: Chromium Version: build 75.0.3739.0 Platform: Linux Ubuntu 16.04
Expected Result: The tool can run successfully and print out outputs of per layer for all examples.
Actual Result: The function utils.iterateLayers are not defined in these examples : skeleton_detection, facial_landmark, object_detection and emotion_analysis. Note: But even after defining, there will be errors such as "invalid value" for object_detection and "can't read property 'subgraphs' of undefined" for facial_landmark and emotion_analysis. For skeleton_detection, the tool can't run due to the model format. Errors are shown below:
How to Reproduce:
1.Start chromium sever on Linux.
2.Visit http://localhost:8080/examples.
3.Select any model and input "utils.iterateLayers([{backend: 'WebML’, prefer: 'sustained'}],[1])" into the console area of the web page. For facial_landmark, you should input "landmarkDetector.iterateLayers([{backend: 'WebML’, prefer: 'sustained'}],[1])"; for emotion_analysis, you should input "emotionAnalysis.iterateLayers([{backend: 'WebML’, prefer: 'sustained'}],[1])". (The "[1]" is optional.)