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Implement reprojection in 3d video #67

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Merged
jasper-tms merged 2 commits into from
May 11, 2026
Merged

Implement reprojection in 3d video #67

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74fbb48
Implement reprojection in 3d video
alexandreflusin Jul 23, 2025
4ce47bc
Use pyba's plot_reprojections; guard incompatible flags
jasper-tms May 11, 2026
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21 changes: 13 additions & 8 deletions df3d/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -295,7 +295,8 @@ def smooth_points2d(self, cam_id, private_cache=dict()):
private_cache[cam_id] = smooth_pose2d(cam.points2d)
return private_cache[cam_id]

def plot_2d(self, cam_id, img_id, with_corrections=False, smooth=False, joints=[]):
def plot_2d(self, cam_id, img_id, with_corrections=False,
smooth=False, joints=[], reprojection=False):
"""Plots the 2d pose estimation results.

Parameters:
Expand All @@ -310,13 +311,17 @@ def plot_2d(self, cam_id, img_id, with_corrections=False, smooth=False, joints=[
"""
from pyba.config import df3d_bones, df3d_colors

if with_corrections:
pts2d = self.corrected_points2d(cam_id, img_id)
else:
pts2d = None
return self.camNet[cam_id].plot_2d(
img_id, points2d=pts2d, bones=df3d_bones, colors=df3d_colors
)
if with_corrections and reprojection:
raise ValueError("'with_corrections' and 'reprojection' "
"cannot both be set to True")

cam = self.camNet[cam_id]
if reprojection:
return cam.plot_reprojections(img_id, self.camNet.points3d,
bones=df3d_bones, colors=df3d_colors)
pts2d = self.corrected_points2d(cam_id, img_id) if with_corrections else None
return cam.plot_2d(img_id, points2d=pts2d,
bones=df3d_bones, colors=df3d_colors)

def get_image(self, cam_id, img_id):
"""Returns the img_id image from cam_id camera."""
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6 changes: 3 additions & 3 deletions df3d/video.py
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Original file line number Diff line number Diff line change
Expand Up @@ -110,17 +110,17 @@ def _make_video(video_path, imgs, fps=default_fps):

def _resize(current_shape, new_width):
width, height = current_shape
ratio = new_width / width;
ratio = new_width / width
return (int(width * ratio), int(height * ratio))


def _compute_2d_img(plot_2d, img_id, cam_id):
def _compute_2d_img(plot_2d, img_id, cam_id, reprojection=True):
"""Uses plot_2d to generate an image and resizes it using cv2.

Returns:
A numpy array containing the resized image.
"""
img = plot_2d(cam_id, img_id, smooth=True)
img = plot_2d(cam_id, img_id, smooth=True, reprojection=reprojection)
img = cv2.resize(img, (img2d_aspect[0]*img3d_dpi, img2d_aspect[1]*img3d_dpi))
return img

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