display debug points from homography

This commit is contained in:
Ruben van de Ven 2024-11-07 16:07:56 +01:00
parent 0af5030845
commit e6187964d3
4 changed files with 42 additions and 15 deletions

View file

@ -22,6 +22,7 @@ import math
from pyglet import shapes
from PIL import Image
import json
from trap.frame_emitter import DetectionState, Frame, Track
from trap.preview_renderer import DrawnTrack, PROJECTION_IMG, PROJECTION_MAP
@ -115,6 +116,26 @@ class AnimationRenderer:
]
self.debug_points = []
# print(self.config.debug_points_file)
if self.config.debug_points_file:
with self.config.debug_points_file.open('r') as fp:
img_points = np.array(json.load(fp))
# to place points accurate I used a 2160p image, but during calibration and
# prediction I use(d) a 1440p image, so convert points to different space:
img_points = np.array(img_points)
# first undistort the points so that lines are actually straight
undistorted_img_points = cv2.undistortPoints(np.array([img_points]).astype('float32'), self.config.camera.mtx, self.config.camera.dist, None, self.config.camera.newcameramtx)
dst_img_points = cv2.perspectiveTransform(np.array(undistorted_img_points), self.config.camera.H)
if dst_img_points.shape[1:] == (1,2):
dst_img_points = np.reshape(dst_img_points, (dst_img_points.shape[0], 2))
self.debug_points = [
pyglet.shapes.Circle(p[0], self.window.height - p[1], 3, color=(255,0,0,255), batch=self.batch_overlay) for p in dst_img_points
]
self.init_shapes()

View file

@ -326,3 +326,9 @@ render_parser.add_argument("--render-url",
type=str,
default=None)
render_parser.add_argument("--debug-points-file",
help="A json file with points to test projection/homography etc.",
type=Path,
required=False,
)

View file

@ -215,7 +215,6 @@ class FrameEmitter:
i = self.config.video_offset
# if '-' in video_path.path().stem:
# path_stem = video_path.stem[:video_path.stem.rfind('-')]
# else:

View file

@ -111,6 +111,7 @@ class DrawnTrack:
if len(self.coords) > len(self.drawn_positions):
self.drawn_positions.extend(self.coords[len(self.drawn_positions):])
if len(self.pred_coords):
for a, drawn_prediction in enumerate(self.drawn_predictions):
for i, pos in enumerate(drawn_prediction):
# TODO: this should be done in polar space starting from origin (i.e. self.drawn_posision[-1])