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video file previewing the prediction, and its delay compared to the current frame", action='store_true') +render_parser.add_argument("--render-url", + help="""Stream renderer on given URL. Two easy approaches: + - using zmq wrapper one can specify the LISTENING ip. To listen to any incoming connection: zmq:tcp://0.0.0.0:5556 + - alternatively, using e.g. UDP one needs to specify the IP of the client. E.g. udp://100.69.123.91:5556/stream + Note that with ZMQ you can have multiple clients connecting simultaneously. E.g. using `ffplay zmq:tcp://100.109.175.82:5556` + When using udp, connecting can be done using `ffplay udp://100.109.175.82:5556/stream` + """, + type=str, + default=None) + diff --git a/trap/frame_emitter.py b/trap/frame_emitter.py index 478ce8c..f660020 100644 --- a/trap/frame_emitter.py +++ b/trap/frame_emitter.py @@ -3,10 +3,11 @@ from dataclasses import dataclass, field from itertools import cycle import logging from multiprocessing import Event +from pathlib import Path import pickle import sys import time -from typing import Optional +from typing import Iterable, Optional import numpy as np import cv2 import zmq @@ -15,6 +16,7 @@ logger = logging.getLogger('trap.frame_emitter') @dataclass class Frame: + index: int img: np.array time: float= field(default_factory=lambda: time.time()) trajectories: Optional[dict] = None @@ -37,9 +39,9 @@ class FrameEmitter: logger.info(f"Connection socket {config.zmq_frame_addr}") if self.config.video_loop: - self.video_srcs = cycle(self.config.video_src) + self.video_srcs: Iterable[Path] = cycle(self.config.video_src) else: - self.video_srcs = self.config.video_src + self.video_srcs: [Path] = self.config.video_src def emit_video(self): @@ -51,6 +53,7 @@ class FrameEmitter: logger.info(f"Emit frames at {fps} fps") prev_time = time.time() + i = 0 while self.is_running.is_set(): ret, img = video.read() @@ -61,7 +64,13 @@ class FrameEmitter: # video.set(cv2.CAP_PROP_POS_FRAMES, 0) # ret, img = video.read() # assert ret is not False # not really error proof... - frame = Frame(img=img) + + + if "DATASETS/hof/" in str(video_path): + # hack to mask out area + cv2.rectangle(img, (0,0), (800,200), (0,0,0), -1) + + frame = Frame(index=i, img=img) # TODO: this is very dirty, need to find another way. # perhaps multiprocessing Array? self.frame_sock.send(pickle.dumps(frame)) @@ -74,11 +83,14 @@ class FrameEmitter: new_frame_time += frame_duration - time_diff else: prev_time = new_frame_time + + i += 1 if not self.is_running.is_set(): # if not running, also break out of infinite generator loop break + logger.info("Stopping") diff --git a/trap/plumber.py b/trap/plumber.py index 3256291..3dd440d 100644 --- a/trap/plumber.py +++ b/trap/plumber.py @@ -73,7 +73,7 @@ def start(): ExceptionHandlingProcess(target=run_tracker, kwargs={'config': args, 'is_running': isRunning}, name='tracker'), ] - if args.render_preview: + if args.render_file or args.render_url: procs.append( ExceptionHandlingProcess(target=run_renderer, kwargs={'config': args, 'is_running': isRunning}, name='renderer') ) diff --git a/trap/renderer.py b/trap/renderer.py index 4b29516..b0b8966 100644 --- a/trap/renderer.py +++ b/trap/renderer.py @@ -1,4 +1,4 @@ - +import ffmpeg from argparse import Namespace import datetime import logging @@ -33,16 +33,48 @@ class Renderer: self.inv_H = np.linalg.pinv(self.H) + # TODO: get FPS from frame_emitter + # self.out = cv2.VideoWriter(str(filename), fourcc, 23.97, (1280,720)) + self.fps = 10 + self.frame_size = (1280,720) + self.out_writer = self.start_writer() if self.config.render_file else None + self.streaming_process = self.start_streaming() if self.config.render_url else None + + def start_writer(self): if not self.config.output_dir.exists(): raise FileNotFoundError("Path does not exist") date_str = datetime.datetime.now().isoformat(timespec="minutes") - filename = self.config.output_dir / f"render_predictions-{date_str}.mp4" + filename = self.config.output_dir / f"render_predictions-{date_str}-{self.config.detector}.mp4" logger.info(f"Write to {filename}") fourcc = cv2.VideoWriter_fourcc(*'vp09') - # TODO: get FPS from frame_emitter - self.out = cv2.VideoWriter(str(filename), fourcc, 23.97, (1280,720)) + + return cv2.VideoWriter(str(filename), fourcc, self.fps, self.frame_size) + + def start_streaming(self): + return ( + ffmpeg + .input('pipe:', format='rawvideo',codec="rawvideo", pix_fmt='bgr24', s='{}x{}'.format(*self.frame_size)) + .output( + self.config.render_url, + #codec = "copy", # use same codecs of the original video + codec='libx264', + listen=1, # enables HTTP server + pix_fmt="yuv420p", + preset="ultrafast", + tune="zerolatency", + g=f"{self.fps*2}", + analyzeduration="2000000", + probesize="1000000", + f='mpegts' + ) + .overwrite_output() + .run_async(pipe_stdin=True) + ) + # return process + + def run(self): @@ -51,6 +83,12 @@ class Renderer: first_time = None while self.is_running.is_set(): i+=1 + + zmq_ev = self.frame_sock.poll(timeout=3) + if not zmq_ev: + # when no data comes in, loop so that is_running is checked + continue + frame: Frame = self.frame_sock.recv_pyobj() try: predictions = self.prediction_sock.recv_json(zmq.NOBLOCK) @@ -75,40 +113,60 @@ class Renderer: coords = cv2.perspectiveTransform(np.array([prediction['history']]), self.inv_H)[0] # logger.warning(f"{coords=}") - center = [int(p) for p in coords[-1]] - cv2.circle(img, center, 5, (0,255,0)) - cv2.putText(img, track_id, (center[0]+8, center[1]), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(0,255,0)) - + for ci in range(1, len(coords)): start = [int(p) for p in coords[ci-1]] end = [int(p) for p in coords[ci]] - cv2.line(img, start, end, (255,255,255), 2) + cv2.line(img, start, end, (255,255,255), 2, lineType=cv2.LINE_AA) if not 'predictions' in prediction or not len(prediction['predictions']): continue - for pred in prediction['predictions']: + for pred_i, pred in enumerate(prediction['predictions']): pred_coords = cv2.perspectiveTransform(np.array([pred]), self.inv_H)[0] + color = (0,0,255) if pred_i == 1 else (100,100,100) for ci in range(1, len(pred_coords)): start = [int(p) for p in pred_coords[ci-1]] end = [int(p) for p in pred_coords[ci]] - cv2.line(img, start, end, (0,0,255), 1) + cv2.line(img, start, end, color, 1, lineType=cv2.LINE_AA) + + for track_id, prediction in predictions.items(): + # draw tracker marker and track id last so it lies over the trajectories + # this goes is a second loop so it overlays over _all_ trajectories + coords = cv2.perspectiveTransform(np.array([[prediction['history'][-1]]]), self.inv_H)[0] + center = [int(p) for p in coords[-1]] + cv2.circle(img, center, 5, (0,255,0)) + p1 = (prediction['bbox'][0], prediction['bbox'][1]) + p2 = (p1[0] + prediction['bbox'][2], p1[1] + prediction['bbox'][3]) + cv2.rectangle(img, p1, p2, (255,0,0), 1) + cv2.putText(img, f"{track_id} ({(prediction['det_conf'] or 0):.2f})", (center[0]+8, center[1]), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.7, thickness=2, color=(0,255,0), lineType=cv2.LINE_AA) if first_time is None: first_time = frame.time - cv2.putText(img, f"{frame.time - first_time:.3f}s", (20,50), cv2.FONT_HERSHEY_PLAIN, 1, (255,255,0), 1) + cv2.putText(img, f"{frame.index:06d}", (20,50), cv2.FONT_HERSHEY_PLAIN, 1, (255,255,0), 1) + cv2.putText(img, f"{frame.time - first_time:.3f}s", (100,50), cv2.FONT_HERSHEY_PLAIN, 1, (255,255,0), 1) img_path = (self.config.output_dir / f"{i:05d}.png").resolve() # cv2.imwrite(str(img_path), img) - self.out.write(img) + logger.info(f"write frame {frame.time - first_time:.3f}s") + if self.out_writer: + self.out_writer.write(img) + if self.streaming_process: + self.streaming_process.stdin.write(img.tobytes()) logger.info('Stopping') if i>2: - self.out.release() + if self.streaming_process: + self.streaming_process.stdin.close() + if self.out_writer: + self.out_writer.release() + if self.streaming_process: + # oddly wrapped, because both close and release() take time. + self.streaming_process.wait()