Merge pull request #850 from JanLipovsek/develop

Updated failing examples and added longer timeout to hill test dispatch

Author: themarpe

.github/workflows/main.yml

@@ -566,7 +566,7 @@ jobs:
           owner: luxonis
           workflow: regression_test.yml
           workflow_inputs: '{"commit": "${{ github.ref }}", "parent_url": "https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}"}'
-          workflow_timeout_seconds: 120 # Default: 300
+          workflow_timeout_seconds: 300 # was 120  Default: 300
 
       - name: Release
         run: echo "https://github.com/luxonis/depthai-core-hil-tests/actions/runs/${{steps.return_dispatch.outputs.run_id}}" >> $GITHUB_STEP_SUMMARY

examples/SpatialDetection/spatial_calculator_multi_roi.py

@@ -67,7 +67,10 @@
         depthFrame = inDepth.getFrame() # depthFrame values are in millimeters
 
         depth_downscaled = depthFrame[::4]
-        min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
+        if np.all(depth_downscaled == 0):
+            min_depth = 0  # Set a default minimum depth value when all elements are zero
+        else:
+            min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
         max_depth = np.percentile(depth_downscaled, 99)
         depthFrameColor = np.interp(depthFrame, (min_depth, max_depth), (0, 255)).astype(np.uint8)
         depthFrameColor = cv2.applyColorMap(depthFrameColor, cv2.COLORMAP_HOT)

examples/SpatialDetection/spatial_location_calculator.py

@@ -75,7 +75,10 @@
         depthFrame = inDepth.getFrame() # depthFrame values are in millimeters
 
         depth_downscaled = depthFrame[::4]
-        min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
+        if np.all(depth_downscaled == 0):
+            min_depth = 0  # Set a default minimum depth value when all elements are zero
+        else:
+            min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
         max_depth = np.percentile(depth_downscaled, 99)
         depthFrameColor = np.interp(depthFrame, (min_depth, max_depth), (0, 255)).astype(np.uint8)
         depthFrameColor = cv2.applyColorMap(depthFrameColor, cv2.COLORMAP_HOT)

examples/SpatialDetection/spatial_mobilenet.py

@@ -115,7 +115,10 @@
         depthFrame = depth.getFrame() # depthFrame values are in millimeters
 
         depth_downscaled = depthFrame[::4]
-        min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
+        if np.all(depth_downscaled == 0):
+            min_depth = 0  # Set a default minimum depth value when all elements are zero
+        else:
+            min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
         max_depth = np.percentile(depth_downscaled, 99)
         depthFrameColor = np.interp(depthFrame, (min_depth, max_depth), (0, 255)).astype(np.uint8)
         depthFrameColor = cv2.applyColorMap(depthFrameColor, cv2.COLORMAP_HOT)

examples/SpatialDetection/spatial_mobilenet_mono.py

@@ -118,7 +118,10 @@
         depthFrame = inDepth.getFrame() # depthFrame values are in millimeters
 
         depth_downscaled = depthFrame[::4]
-        min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
+        if np.all(depth_downscaled == 0):
+            min_depth = 0  # Set a default minimum depth value when all elements are zero
+        else:
+            min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
         max_depth = np.percentile(depth_downscaled, 99)
         depthFrameColor = np.interp(depthFrame, (min_depth, max_depth), (0, 255)).astype(np.uint8)
         depthFrameColor = cv2.applyColorMap(depthFrameColor, cv2.COLORMAP_HOT)

examples/SpatialDetection/spatial_tiny_yolo.py

@@ -148,7 +148,10 @@
         depthFrame = depth.getFrame() # depthFrame values are in millimeters
 
         depth_downscaled = depthFrame[::4]
-        min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
+        if np.all(depth_downscaled == 0):
+            min_depth = 0  # Set a default minimum depth value when all elements are zero
+        else:
+            min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
         max_depth = np.percentile(depth_downscaled, 99)
         depthFrameColor = np.interp(depthFrame, (min_depth, max_depth), (0, 255)).astype(np.uint8)
         depthFrameColor = cv2.applyColorMap(depthFrameColor, cv2.COLORMAP_HOT)

examples/StereoDepth/depth_crop_control.py

@@ -64,7 +64,10 @@
 
         # Frame is transformed, the color map will be applied to highlight the depth info
         depth_downscaled = depthFrame[::4]
-        min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
+        if np.all(depth_downscaled == 0):
+            min_depth = 0  # Set a default minimum depth value when all elements are zero
+        else:
+            min_depth = np.percentile(depth_downscaled[depth_downscaled != 0], 1)
         max_depth = np.percentile(depth_downscaled, 99)
         depthFrameColor = np.interp(depthFrame, (min_depth, max_depth), (0, 255)).astype(np.uint8)
         depthFrameColor = cv2.applyColorMap(depthFrameColor, cv2.COLORMAP_HOT)