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main
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render_his
Author | SHA1 | Date | |
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9aff9c7c06 | ||
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9871848407 | ||
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e837617e39 |
2 changed files with 195 additions and 83 deletions
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@ -95,9 +95,7 @@ class Track:
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coords = self.get_projected_history(H)
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return [{"x":c[0], "y":c[1]} for c in coords]
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@dataclass
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class Frame:
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276
trap/renderer.py
276
trap/renderer.py
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@ -18,16 +18,31 @@ import tempfile
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from pathlib import Path
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import shutil
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import math
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from collections import deque
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from pyglet import shapes
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from PIL import Image
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from trap.frame_emitter import DetectionState, Frame, Track
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from dataclasses import dataclass
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logger = logging.getLogger("trap.renderer")
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@dataclass
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class LineAnimConfig:
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start_opacity: float
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target_opacity: float
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decay: float
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@dataclass
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class AnimConfig:
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clear_color = (0,0,0,0)
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video_opacity = 100 # on 255 scale
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tracks: LineAnimConfig = LineAnimConfig(80, 180, 60)
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predictions: LineAnimConfig = LineAnimConfig(20, 50, 10)
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class FrameAnimation:
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def __init__(self, frame: Frame):
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self.start_time = time.time()
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@ -62,27 +77,48 @@ class DrawnTrack:
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self.update_at = self.created_at = time.time()
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self.track_id = track_id
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self.renderer = renderer
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self.set_track(track, H)
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self.drawn_positions = []
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self.drawn_predictions = []
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# self.drawn_predictions = []
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self.predictions: deque[DrawnPrediction] = deque(maxlen=2) # TODO; make configurable
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self.shapes: list[pyglet.shapes.Line] = []
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self.pred_shapes: list[list[pyglet.shapes.Line]] = []
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self.set_track(track, H)
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self.set_prediction(track)
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def __del__(self):
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self.destroy()
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def destroy(self):
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# TODO)) not working yet
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logger.warning(f'del track {self}')
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for s in self.shapes:
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s.delete()
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for p in self.predictions:
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p.destroy()
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def set_track(self, track: Track, H):
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self.update_at = time.time()
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self.track = track
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self.H = H
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self.coords = [d.get_foot_coords() for d in track.history]
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self.coords = [d.get_foot_coords() for d in track.history[-30:]] # maximum of 30 past positions (prevent collapse of FPS on loitering object)
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# perhaps only do in constructor:
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self.inv_H = np.linalg.pinv(self.H)
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def set_prediction(self, track: Track):
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# TODO: turn into add_prediction
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pred_coords = []
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if not track.predictions:
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return
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for pred_i, pred in enumerate(track.predictions):
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pred_coords.append(cv2.perspectiveTransform(np.array([pred]), self.inv_H)[0].tolist())
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self.pred_coords = pred_coords
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# self.pred_coords = pred_coords
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self.predictions.append(DrawnPrediction(self, pred_coords))
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# color = (128,0,128) if pred_i else (128,
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@ -92,29 +128,32 @@ class DrawnTrack:
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'''
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# TODO: make lerp, currently quick way to get results
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for i, pos in enumerate(self.drawn_positions):
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self.drawn_positions[i][0] = int(exponentialDecay(self.drawn_positions[i][0], self.coords[i][0], 16, dt))
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self.drawn_positions[i][1] = int(exponentialDecay(self.drawn_positions[i][1], self.coords[i][1], 16, dt))
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self.drawn_positions[i][0] = int(exponentialDecay(self.drawn_positions[i][0], self.coords[i][0], AnimConfig.tracks.decay, dt))
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self.drawn_positions[i][1] = int(exponentialDecay(self.drawn_positions[i][1], self.coords[i][1], AnimConfig.tracks.decay, dt))
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if len(self.coords) > len(self.drawn_positions):
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self.drawn_positions.extend(self.coords[len(self.drawn_positions):])
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for a, drawn_prediction in enumerate(self.drawn_predictions):
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for i, pos in enumerate(drawn_prediction):
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# TODO: this should be done in polar space starting from origin (i.e. self.drawn_posision[-1])
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decay = max(3, (18/i) if i else 10) # points further away move with more delay
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decay = 6
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origin = self.drawn_positions[-1]
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drawn_r, drawn_angle = relativePointToPolar( origin, drawn_prediction[i])
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pred_r, pred_angle = relativePointToPolar(origin, self.pred_coords[a][i])
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r = exponentialDecay(drawn_r, pred_r, decay, dt)
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angle = exponentialDecay(drawn_angle, pred_angle, decay, dt)
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x, y = relativePolarToPoint(origin, r, angle)
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self.drawn_predictions[a][i] = int(x), int(y)
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# self.drawn_predictions[i][0] = int(exponentialDecay(self.drawn_predictions[i][0], self.pred_coords[i][0], decay, dt))
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# self.drawn_predictions[i][1] = int(exponentialDecay(self.drawn_predictions[i][1], self.pred_coords[i][1], decay, dt))
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# Superseded by individual drawnprediction elements
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# for a, drawn_prediction in enumerate(self.drawn_predictions):
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# for i, pos in enumerate(drawn_prediction):
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# # TODO: this should be done in polar space starting from origin (i.e. self.drawn_posision[-1])
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# decay = max(3, (18/i) if i else 10) # points further away move with more delay
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# decay = 6
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# origin = self.drawn_positions[-1]
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# drawn_r, drawn_angle = relativePointToPolar( origin, drawn_prediction[i])
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# pred_r, pred_angle = relativePointToPolar(origin, self.pred_coords[a][i])
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# r = exponentialDecay(drawn_r, pred_r, decay, dt)
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# angle = exponentialDecay(drawn_angle, pred_angle, decay, dt)
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# x, y = relativePolarToPoint(origin, r, angle)
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# self.drawn_predictions[a][i] = int(x), int(y)
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# # self.drawn_predictions[i][0] = int(exponentialDecay(self.drawn_predictions[i][0], self.pred_coords[i][0], decay, dt))
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# # self.drawn_predictions[i][1] = int(exponentialDecay(self.drawn_predictions[i][1], self.pred_coords[i][1], decay, dt))
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# if len(self.pred_coords) > len(self.drawn_predictions):
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# self.drawn_predictions.extend(self.pred_coords[len(self.drawn_predictions):])
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if len(self.pred_coords) > len(self.drawn_predictions):
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self.drawn_predictions.extend(self.pred_coords[len(self.drawn_predictions):])
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# for a, drawn_prediction in self.drawn_predictions:
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# if len(self.pred_coords) > len(self.drawn_predictions):
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# self.drawn_predictions.extend(self.pred_coords[len(self.drawn_predictions):])
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@ -139,7 +178,7 @@ class DrawnTrack:
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if ci >= len(self.shapes):
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# TODO: add color2
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line = self.renderer.gradientLine(x, y, x2, y2, 3, color, color, batch=self.renderer.batch_anim)
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line.opacity = 5
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line.opacity = AnimConfig.tracks.start_opacity
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self.shapes.append(line)
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else:
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@ -147,50 +186,111 @@ class DrawnTrack:
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line.x, line.y = x, y
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line.x2, line.y2 = x2, y2
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line.color = color
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line.opacity = int(exponentialDecay(line.opacity, 180, 3, dt))
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line.opacity = int(exponentialDecay(line.opacity, AnimConfig.tracks.target_opacity, AnimConfig.tracks.start_opacity, dt))
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# TODO: basically a duplication of the above, do this smarter?
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# TODO: add intermediate segment
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color = colorset[self.track_id % len(colorset)]
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#color = colorset[self.track_id % len(colorset)]
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for a, drawn_predictions in enumerate(self.drawn_predictions):
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if len(self.pred_shapes) <= a:
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self.pred_shapes.append([])
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for drawn_prediction in self.predictions:
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drawn_prediction.update_opacities(dt)
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# for a, drawn_predictions in enumerate(self.drawn_predictions):
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# if len(self.pred_shapes) <= a:
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# self.pred_shapes.append([])
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if len(self.pred_shapes[a]) > (len(drawn_predictions) +1):
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self.pred_shapes[a] = self.pred_shapes[a][:len(drawn_predictions)]
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# if len(self.pred_shapes[a]) > (len(drawn_predictions) +1):
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# self.pred_shapes[a] = self.pred_shapes[a][:len(drawn_predictions)]
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# for i, pos in drawn_predictions.enumerate():
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for ci in range(0, len(drawn_predictions)):
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if ci == 0:
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x, y = [int(p) for p in self.drawn_positions[-1]]
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else:
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x, y = [int(p) for p in drawn_predictions[ci-1]]
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# # for i, pos in drawn_predictions.enumerate():
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# for ci in range(0, len(drawn_predictions)):
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# if ci == 0:
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# x, y = [int(p) for p in self.drawn_positions[-1]]
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# else:
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# x, y = [int(p) for p in drawn_predictions[ci-1]]
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x2, y2 = [int(p) for p in drawn_predictions[ci]]
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# x2, y2 = [int(p) for p in drawn_predictions[ci]]
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y, y2 = self.renderer.window.height - y, self.renderer.window.height - y2
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# color = [255,0,0]
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# print(x,y,x2,y2,color)
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# y, y2 = self.renderer.window.height - y, self.renderer.window.height - y2
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# # color = [255,0,0]
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# # print(x,y,x2,y2,color)
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if ci >= len(self.pred_shapes[a]):
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# TODO: add color2
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line = self.renderer.gradientLine(x, y, x2, y2, 3, color, color, batch=self.renderer.batch_anim)
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line.opacity = 5
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self.pred_shapes[a].append(line)
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# if ci >= len(self.pred_shapes[a]):
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# # TODO: add color2
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# line = self.renderer.gradientLine(x, y, x2, y2, 3, color, color, batch=self.renderer.batch_anim)
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# line.opacity = 5
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# self.pred_shapes[a].append(line)
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# else:
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# line = self.pred_shapes[a][ci-1]
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# line.x, line.y = x, y
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# line.x2, line.y2 = x2, y2
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# line.color = color
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# decay = (16/ci) if ci else 16
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# half = len(drawn_predictions) / 2
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# if ci < half:
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# target_opacity = 180
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# else:
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# target_opacity = (1 - ((ci - half) / half)) * 180
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# line.opacity = int(exponentialDecay(line.opacity, target_opacity, decay, dt))
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class DrawnPrediction:
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def __init__(self, drawn_track: DrawnTrack, coords: list[list] = []):
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self.created_at = time.time()
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# self.renderer = renderer
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self.drawn_track = drawn_track
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self.coords = coords
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self.color = colorset[self.drawn_track.track_id % len(colorset)]
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self.pred_shapes: list[list[pyglet.shapes.Line]] = []
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# coords is a list of predictions
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for a, coords in enumerate(self.coords):
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prediction_shapes = []
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for ci in range(0, len(coords)):
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if ci == 0:
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x, y = [int(p) for p in self.drawn_track.coords[-1]]
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else:
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line = self.pred_shapes[a][ci-1]
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line.x, line.y = x, y
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line.x2, line.y2 = x2, y2
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line.color = color
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decay = (16/ci) if ci else 16
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half = len(drawn_predictions) / 2
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if ci < half:
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target_opacity = 180
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else:
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target_opacity = (1 - ((ci - half) / half)) * 180
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line.opacity = int(exponentialDecay(line.opacity, target_opacity, decay, dt))
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x, y = [int(p) for p in coords[ci-1]]
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x2, y2 = [int(p) for p in coords[ci]]
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# flip in window:
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y, y2 = self.drawn_track.renderer.window.height - y, self.drawn_track.renderer.window.height - y2
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line = self.drawn_track.renderer.gradientLine(x, y, x2, y2, 3, self.color, self.color, batch=self.drawn_track.renderer.batch_anim)
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line.opacity = 5
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prediction_shapes.append(line)
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self.pred_shapes.append(prediction_shapes)
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def destroy(self):
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for pred in self.pred_shapes:
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for shape in pred:
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shape.delete()
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def update_opacities(self, dt: float):
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"""
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Update the opacties of the drawn line, by only using the dt provided by the renderer
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Done using exponential decal, with a different decay value per item
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"""
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for a, coords in enumerate(self.coords):
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for ci in range(0, len(coords)):
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line = self.pred_shapes[a][ci-1]
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# Positions of prediction no longer update
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# line.x, line.y = x, y
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# line.x2, line.y2 = x2, y2
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# line.color = color
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# lower decay for further points slows down fade in
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decay = (AnimConfig.predictions.decay/(3*ci)) if ci else AnimConfig.predictions.decay
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half = len(coords) / 2
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if ci < half:
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target_opacity = AnimConfig.predictions.target_opacity
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else:
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target_opacity = (1 - ((ci - half) / half)) * AnimConfig.predictions.target_opacity
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line.opacity = int(exponentialDecay(line.opacity, target_opacity, decay, dt))
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# logger.info(f"{target_opacity=}, {line.opacity=}")
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class FrameWriter:
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@ -279,7 +379,8 @@ class Renderer:
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self.window.set_handler('on_refresh', self.on_refresh)
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self.window.set_handler('on_close', self.on_close)
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pyglet.gl.glClearColor(81./255, 20/255, 46./255, 0)
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# Purple background color:
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pyglet.gl.glClearColor(*AnimConfig.clear_color)
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self.fps_display = pyglet.window.FPSDisplay(window=self.window, color=(255,255,255,255))
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self.fps_display.label.x = self.window.width - 50
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self.fps_display.label.y = self.window.height - 17
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@ -415,34 +516,32 @@ class Renderer:
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def check_frames(self, dt):
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new_tracks = False
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try:
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self.frame: Frame = self.frame_sock.recv_pyobj(zmq.NOBLOCK)
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if not self.first_time:
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self.first_time = self.frame.time
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img = cv2.GaussianBlur(self.frame.img, (15, 15), 0)
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img = cv2.flip(cv2.cvtColor(img, cv2.COLOR_BGR2RGB), 0)
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img = pyglet.image.ImageData(self.frame_size[0], self.frame_size[1], 'RGB', img.tobytes())
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img = cv2.cvtColor(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY), cv2.COLOR_GRAY2RGB)
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channels = 3 # unfortunately, pyglet seems to draw single channel as Red only
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img = pyglet.image.ImageData(self.frame_size[0], self.frame_size[1], 'RGB', img.tobytes(), pitch=self.frame_size[0] * -1 * channels)
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# don't draw in batch, so that it is the background
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self.video_sprite = pyglet.sprite.Sprite(img=img, batch=self.batch_bg)
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self.video_sprite.opacity = 100
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self.video_sprite.opacity = AnimConfig.video_opacity
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except zmq.ZMQError as e:
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# idx = frame.index if frame else "NONE"
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# logger.debug(f"reuse video frame {idx}")
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pass
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try:
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self.prediction_frame: Frame = self.prediction_sock.recv_pyobj(zmq.NOBLOCK)
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new_tracks = True
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self.update_predictions()
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except zmq.ZMQError as e:
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pass
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try:
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self.tracker_frame: Frame = self.tracker_sock.recv_pyobj(zmq.NOBLOCK)
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new_tracks = True
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self.update_tracks()
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except zmq.ZMQError as e:
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pass
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if new_tracks:
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self.update_tracks()
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def update_tracks(self):
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"""Updates the track objects and shapes. Called after setting `prediction_frame`
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@ -454,18 +553,31 @@ class Renderer:
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# # TODO fade out
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# del self.drawn_tracks[track_id]
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if self.tracker_frame:
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for track_id, track in self.tracker_frame.tracks.items():
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if track_id not in self.drawn_tracks:
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self.drawn_tracks[track_id] = DrawnTrack(track_id, track, self, self.tracker_frame.H)
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else:
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self.drawn_tracks[track_id].set_track(track, self.tracker_frame.H)
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# clean up
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for track_id in list(self.drawn_tracks.keys()):
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# TODO make delay configurable
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if self.drawn_tracks[track_id].update_at < time.time() - 5:
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# TODO fade out
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self.drawn_tracks[track_id].destroy()
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del self.drawn_tracks[track_id]
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def update_predictions(self):
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if self.prediction_frame:
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for track_id, track in self.prediction_frame.tracks.items():
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if track_id not in self.drawn_tracks:
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self.drawn_tracks[track_id] = DrawnTrack(track_id, track, self, self.prediction_frame.H)
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logger.warning("Prediction for uninitialised frame. This should not happen? (maybe huge delay in prediction?)")
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else:
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self.drawn_tracks[track_id].set_track(track, self.prediction_frame.H)
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self.drawn_tracks[track_id].set_prediction(track)
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# clean up
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for track in self.drawn_tracks.values():
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if track.update_at < time.time() - 5:
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# TODO fade out
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del self.drawn_tracks[track_id]
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def on_key_press(self, symbol, modifiers):
|
||||
print('A key was pressed, use f to hide')
|
||||
|
@ -499,14 +611,16 @@ class Renderer:
|
|||
self.window.clear()
|
||||
|
||||
self.batch_bg.draw()
|
||||
|
||||
|
||||
for track in self.drawn_tracks.values():
|
||||
for shape in track.shapes:
|
||||
shape.draw() # for some reason the batches don't work
|
||||
for track in self.drawn_tracks.values():
|
||||
for shapes in track.pred_shapes:
|
||||
for shape in shapes:
|
||||
shape.draw()
|
||||
for prediction in track.predictions:
|
||||
for shapes in prediction.pred_shapes:
|
||||
for shape in shapes:
|
||||
shape.draw()
|
||||
# self.batch_anim.draw()
|
||||
self.batch_overlay.draw()
|
||||
|
||||
|
@ -668,12 +782,12 @@ def decorate_frame(frame: Frame, prediction_frame: Frame, first_time: float, con
|
|||
# or https://api.arcade.academy/en/stable/index.html (supports gradient color in line -- "Arcade is built on top of Pyglet and OpenGL.")
|
||||
frame.img
|
||||
|
||||
overlay = np.zeros(frame.img.shape, np.uint8)
|
||||
# Fill image with red color(set each pixel to red)
|
||||
overlay[:] = (130, 0, 75)
|
||||
# # Fill image with red color(set each pixel to red)
|
||||
# overlay = np.zeros(frame.img.shape, np.uint8)
|
||||
# overlay[:] = (130, 0, 75)
|
||||
|
||||
img = cv2.addWeighted(frame.img, .4, overlay, .6, 0)
|
||||
# img = frame.img.copy()
|
||||
# img = cv2.addWeighted(frame.img, .4, overlay, .6, 0)
|
||||
img = frame.img.copy()
|
||||
|
||||
# all not working:
|
||||
# if i == 1:
|
||||
|
|
Loading…
Reference in a new issue