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+# Project Source Code
+
+## Instructions 
+
+1. Calibrate the two cameras (eye-to-hand) by `hand_eye_calib_apriltag.py`, save trajectory/extrinsics.
+2. Label ground truth scan spots on the subject's body (target 1, target 2, target 4) with a mark pen.
+3. Change the `SUBJECT_NAME` and `SCAN_POSE` in `subject_info.py` and run `python subject_info.py` to create a new folder for the new subject/pose.
+   - `SCAN_POSE` is either 'front' or 'side'.
+4. Have the subject lied on the stretcher.
+5. `cd ..`, and run `python run_pipeline.py` to run the entire pipeline, for both front and side poses.
+6. Manually measure and record the pixel coordinates of the three targets in two color images.
+   - For target 1 and 2, use the images taken for the front pose.
+   - For target 4, use the images taken for the side pose.
+
+## Ratio Optimization
+
+1. Run `python evaluation/compute_gt_position.py` to compute the ground-truth 3D positions:
+2. Run `python optimize.py` to optimize the ratio parameters for both front and side postures.