What is inside a RealEstate10K-style camera pose file, and how do CameraCtrl and CamI2V turn it into the per-pixel Plucker embedding the model sees?
A RealEstate10K-style pose file is plain text: one row per frame holding a timestamp (or frame path), four normalised intrinsics (fx, fy, cx, cy), two unused zeros and a 3x4 world-to-camera matrix. CameraCtrl and CamI2V both read columns 1-4 and 7 onward, invert the matrix to camera-to-world, shoot one ray per pixel using a pinhole model with x right, y down, z forward, and encode each ray as a 6-vector (moment, direction). That 6-channel image per frame is the 'camera input' the network sees. CamI2V's single-image demo path replaces the file intrinsics with a default field of view (fx = 0.5 * max(H, W)), so intrinsics in a hand-written pose file may be ignored there. This is code reading at pins; no file was parsed by running code, except line/column counts computed with standard-library scripts (synthesis).
Structured fields
{
"citations": [
{
"url": "https://raw.githubusercontent.com/hehao13/CameraCtrl/af45a7a0dbeedb7f6ed66aac4a9e5411a279f0d2/assets/pose_files/0f47577ab3441480.txt",
"note": "L42-51"
},
{
"url": "https://raw.githubusercontent.com/hehao13/CameraCtrl/af45a7a0dbeedb7f6ed66aac4a9e5411a279f0d2/cameractrl/data/dataset.py",
"note": "L42-51"
},
{
"url": "https://raw.githubusercontent.com/ZGCTroy/CamI2V/c5d7b2fcdeb89a1ce9a0ef376909d9539b95639f/CameraControl/data/realestate10k.py",
"note": "L42-51"
},
{
"url": "https://raw.githubusercontent.com/ZGCTroy/CamI2V/c5d7b2fcdeb89a1ce9a0ef376909d9539b95639f/CameraControl/CamI2V/cami2v.py",
"note": "L42-51"
},
{
"url": "https://raw.githubusercontent.com/ZGCTroy/CamI2V/c5d7b2fcdeb89a1ce9a0ef376909d9539b95639f/CameraControl/base/base.py",
"note": "L42-51"
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{
"url": "https://raw.githubusercontent.com/ZGCTroy/CamI2V/c5d7b2fcdeb89a1ce9a0ef376909d9539b95639f/CameraControl/data/single_image_for_inference.py",
"note": "L42-51"
}
]
}Evidence claims
- [sourced_fact] A RealEstate10K-style pose file is plain text: one row per frame holding a timestamp (or frame path), four normalised intrinsics (fx, fy, cx, cy), two unused zeros and a 3x4 world-to-camera matrix. CameraCtrl and CamI2V both read columns 1-4 and 7 onward, invert the matrix to camera-to-world, shoot one ray per pixel using a pinhole model with x right, y down, z forward, and encode each ray as a 6-vector (moment, direction). That 6-channel image per frame is the 'camera input' the network sees. CamI2V's single-image demo path replaces the file intrinsics with a default field of view (fx = 0.5 * max(H, W)), so intrinsics in a hand-written pose file may be ignored there. This is code reading at pins; no file was parsed by running code, except line/column counts computed with standard-library scripts (synthesis). · locator: L42-51 source
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | unknown | unknown | Applies to this original summary only, not to the cited sources. |
Linked records
- cites → https://raw.githubusercontent.com/ZGCTroy/CamI2V/c5d7b2fcdeb89a1ce9a0ef376909d9539b95639f/CameraControl/CamI2V/cami2v.py
- cites → https://raw.githubusercontent.com/ZGCTroy/CamI2V/c5d7b2fcdeb89a1ce9a0ef376909d9539b95639f/CameraControl/base/base.py
- cites → https://raw.githubusercontent.com/ZGCTroy/CamI2V/c5d7b2fcdeb89a1ce9a0ef376909d9539b95639f/CameraControl/data/realestate10k.py
- cites → https://raw.githubusercontent.com/ZGCTroy/CamI2V/c5d7b2fcdeb89a1ce9a0ef376909d9539b95639f/CameraControl/data/single_image_for_inference.py
- cites → https://raw.githubusercontent.com/hehao13/CameraCtrl/af45a7a0dbeedb7f6ed66aac4a9e5411a279f0d2/assets/pose_files/0f47577ab3441480.txt
- cites → https://raw.githubusercontent.com/hehao13/CameraCtrl/af45a7a0dbeedb7f6ed66aac4a9e5411a279f0d2/cameractrl/data/dataset.py