Update documentation and clean up code; fixed output path in camera config and removed unnecessary lines in script.

.vscode/settings.json

@@ -0,0 +1,10 @@
+{
+  "git.enabled": true,
+  "git.decorations.enabled": true,
+  "scm.diffDecorations": "all",
+  "scm.diffDecorationsGutterVisibility": "always",
+  "files.decorations.enabled": true,
+  "explorer.decorations.badges": true,
+  "explorer.decorations.colors": true
+}
+

nuke_CAM_exporter/FIXES_AND_IMPROVEMENTS.md

@@ -205,3 +205,4 @@ If you encounter issues:
 3. Verify `unit_scale` calculation
 4. Ensure lens parameters match Nuke camera settings
 
+

nuke_CAM_exporter/README_TESTING.md

@@ -146,3 +146,4 @@ If motion still doesn't match:
 - Check that ComfyUI render resolution matches pose file resolution
 - Consider using camera projection in Nuke to validate the converted poses
 
+

nuke_CAM_exporter/configs/camera_config_v01.json

@@ -1,6 +1,6 @@
 {
   "input": "../inputs/camTrack_1.7m_v02.asci",
-  "output": "../outputs/camTrack_1.7m_v02_converted.txt",
+  "output": "../outputs/camTrack_1.7m_v04_converted.txt",
   "fps": 25.0,
   "unit_scale": 0.1,
   "lens": {

nuke_CAM_exporter/test_nuke_scene.py

@@ -73,8 +73,6 @@ def generate_nuke_script(output_path: Path, num_frames: int = 50) -> None:
         "    xpos 0",
         "    ypos -200",
         "}",
-        "",
-        "end_group",
     ]
     
     output_path.write_text("\n".join(script_lines))

nuke_CAM_exporter/test_pipeline.sh

@@ -54,3 +54,4 @@ python3 validate_conversion.py \
 echo ""
 echo "=== Pipeline test complete! ==="
 
+

nuke_CAM_exporter/validate_conversion.py

@@ -123,8 +123,8 @@ def compare_poses(asci_path: Path, pose_path: Path, unit_scale: float = 1.0) ->
         R_asci = euler_zxy_to_matrix(rx, ry, rz)
         R_asci_np = np.array(R_asci)
         
-        # Get pose data
-        timestamp, intrinsics, R_pose_row = parse_pose_line(pose_data[i])
+        # Get pose data (already parsed on line 97)
+        timestamp, intrinsics, R_pose_row = pose_data[i]
         R_pose = [row[:3] for row in R_pose_row]  # Extract rotation part
         t_pose = [row[3] for row in R_pose_row]  # Extract translation part
         R_pose_np = np.array(R_pose)