Spaces:
				
			
			
	
			
			
		Running
		
			on 
			
			Zero
	
	
	
			
			
	
	
	
	
		
		
		Running
		
			on 
			
			Zero
	A newer version of the Gradio SDK is available:
									5.49.1
Change Log
2024-10-05 22:00 PST
Infinite Image Reloading Issue
- Problem: After recent changes, dragging an image into the interface causes it to flicker and continuously reload. The depth prediction does not run.
- Suspected cause: Recent modifications to the input handling in the Gradio interface, particularly the input_image.changeevent.
- Next steps: Revert the changes to the input handling and investigate a different approach to manage the image path.
2024-10-05 21:20 PST
3D Model Generation File Access Error
- Problem: When attempting to generate the 3D model, an error occurred: "[Errno 2] No such file or directory: '/tmp/tmppgls861k.png'"
- This suggests that the temporary file created during the depth map generation is not accessible or has been deleted before the 3D model generation process.
- Next steps: Investigate the file handling in the create_3d_modelfunction and ensure temporary files are properly managed and accessible.
2024-10-05 21:13 PST
CUDA Initialization Error Fix
- Problem: CUDA was being initialized in the main process, causing an error in the Spaces Stateless GPU environment.
- Changes made:- Modified np.savetxtto ensure depth is converted to a CPU numpy array if it's a torch.Tensor.
- Explicitly converted focallength_pxto a float.
- Added more print statements throughout the predict_depthfunction for improved logging and debugging.
- Added a print statement just before returning from the predict_depthfunction to log all return values.
 
- Modified 
- These changes aim to prevent CUDA initialization in the main process and provide more detailed logging for troubleshooting.
2024-10-05 23:00 PST
Persistent 3D Model Colorization Issue
- Problem: Despite previous attempts, the 3D model still appears colorless (gray) without the original image overlay.
- Next steps: - Review the texture mapping process in the 3D model generation.
- Investigate alternative methods to apply color information to the 3D model.
- Ensure color data is being properly passed and applied throughout the pipeline.
 
2024-10-05 22:30 PST
3D Model Colorization and Thin Threshold Adjustment
- Problem 1: The generated 3D model lacks proper colorization from the original image.
- Problem 2: The range for the 'thin' threshold slider may need adjustment, and its units are unclear.
- Next steps: - Investigate and fix the texture mapping in the 3D model generation process.
- Clarify the units for the thin threshold and consider adjusting its range.
 
2024-10-06 00:30 PST
Reverting 3D Model Simplification and Smoothing
- Problem: The 3D model still lacks proper colorization from the original image.
- Action: Reverting simplification and smoothing operations to their default state (no processing) to isolate the colorization issue.
- Changes:- Set default values for simplification_factor, smoothing_iterations, and thin_threshold to 1.0, 0, and 0 respectively.
- Adjust the generate_3d_model function to skip simplification and smoothing steps when default values are used.
 
- Next steps: Re-test the 3D model generation to verify if colorization is restored without these processing steps.
