[De...] Posted October 27 Share Posted October 27 Alternative to 3D PDFs https://github.com/Devon-Kile/Colormap_Visualizer_addon.git https://github.com/Devon-Kile/Colormap_Visualizer.git 1 Link to comment https://qualityforum.zeiss.com/topic/27762-colormap-viewer/ Share on other sites More sharing options...
[Ma...] Posted Tuesday at 10:59 AM Share Posted Tuesday at 10:59 AM Great work, but for me it doesn't work 😞 Link to comment https://qualityforum.zeiss.com/topic/27762-colormap-viewer/#findComment-157760 Share on other sites More sharing options...
[De...] Posted 1 hour ago Author Share Posted 1 hour ago hmm.. maybe try it with a super basic project, CAD / Scan / Colormap. run it in the script editor? --> paste errors (if any) you can also run this script below to analyze the np.arrays. (just change the 'colormap' name to what you have in your project) import gom import numpy as np # Access surface comparison inspection element colormap = gom.app.project.inspection['Surface comparison 1'] # Extract NumPy arrays (preserve original dimensions) coordinates = np.asarray(colormap.data.coordinate) normals = np.asarray(colormap.data.normal) scalar_values = np.asarray(colormap.data.scalar_value) triangles = np.asarray(colormap.data.triangle) # --------------------------------------------------------- # ARRAY INSPECTION # --------------------------------------------------------- def inspect_array(name, array): print("\n" + "=" * 70) print("ARRAY:", name) print("=" * 70) print("Shape: ", array.shape) print("Dimensions: ", array.ndim) print("Data type: ", array.dtype) print("Total values:", array.size) print("\nFIRST 5 ROWS") print(array[0, :5]) # Inspect arrays inspect_array("COORDINATES", coordinates) inspect_array("NORMALS", normals) inspect_array("SCALAR VALUES", scalar_values) inspect_array("TRIANGLES", triangles) # --------------------------------------------------------- # SCALAR VALUE STATISTICS # --------------------------------------------------------- print("\n" + "=" * 70) print("SCALAR VALUE STATISTICS") print("=" * 70) for stage in range(scalar_values.shape[0]): values = scalar_values[stage].ravel() valid = np.isfinite(values) print("\nSTAGE:", stage) print("Total values: ", values.size) print("Valid values: ", np.count_nonzero(valid)) print("Invalid values:", np.count_nonzero(~valid)) if np.any(valid): print("Minimum: ", np.min(values[valid])) print("Maximum: ", np.max(values[valid])) print("Mean: ", np.mean(values[valid])) print("Median: ", np.median(values[valid])) print("Std Dev: ", np.std(values[valid])) # --------------------------------------------------------- # MESH VALIDATION # --------------------------------------------------------- print("\n" + "=" * 70) print("MESH VALIDATION") print("=" * 70) for stage in range(coordinates.shape[0]): vertex_count = coordinates.shape[1] triangle_count = triangles.shape[1] stage_triangles = triangles[stage] invalid_indices = np.count_nonzero( (stage_triangles < 0) | (stage_triangles >= vertex_count) ) print("\nSTAGE:", stage) print("Vertex count: ", vertex_count) print("Triangle count: ", triangle_count) print("Minimum index: ", stage_triangles.min()) print("Maximum index: ", stage_triangles.max()) print("Invalid indices:", invalid_indices) print("Coordinate/normal match:", coordinates[stage].shape == normals[stage].shape) print("Coordinate/scalar match:", coordinates[stage].shape[0] == scalar_values[stage].shape[0]) print("\nArray analysis complete.") Link to comment https://qualityforum.zeiss.com/topic/27762-colormap-viewer/#findComment-158038 Share on other sites More sharing options...
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