cjwbw/depth-anything 🖼️❓ → 🖼️
About
Highly practical solution for robust monocular depth estimation by training on a combination of 1.5M labeled images and 62M+ unlabeled images

Example Output
Output

Performance Metrics
2.38s
Prediction Time
108.53s
Total Time
All Input Parameters
{ "image": "https://replicate.delivery/pbxt/KHNQeXAurKvjfdelBdvQcJ0l2Q0a7hRgoyLuNPc2Q9w7zQL7/IMG_0639.png", "encoder": "vitl" }
Input Parameters
- image (required)
- Input image
- encoder
- Choose an encoder.
Output Schema
Output
Example Execution Logs
Total parameters: 335.32M
Version Details
- Version ID
e5b0454205013708df48492a13a8ee4b3c412173362fc56c6b5558eb54e527e5
- Version Created
- January 24, 2024