New ui #1
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@@ -1,5 +1,7 @@
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import contextlib
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import time
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from typing import Iterator
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from dodgeballtracker.typing import VideoFrame, VideoTimestamp
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import cv2
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import logging
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@@ -7,7 +9,7 @@ logger = logging.getLogger(__name__)
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def iter_frames(video_cap):
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def iter_frames(video_cap) -> Iterator[tuple[VideoFrame, VideoTimestamp]]:
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while 1:
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ret, frame = video_cap.read()
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if not ret:
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@@ -1,4 +1,5 @@
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import json
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from collections import Counter
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from pathlib import Path
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import logging
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import torch
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@@ -9,7 +10,7 @@ from dodgeballtracker.video_writer import create_video_writer, VideoWriter
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import matplotlib
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import numpy as np
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from boxmot import DeepOcSort as DeepOCSORT
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from .typing import VideoFrame
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logger = logging.getLogger(__name__)
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@@ -111,7 +112,7 @@ class DodgeballTracker:
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for d in tracker_data:
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self.print_box(d, frame_idx, frame_ts)
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def plot_box_to_frame(self, data, frame):
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def plot_box_to_frame(self, data, frame: VideoFrame):
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confidence = float(data[4])
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for detected_box_object in self.detected_box_objects:
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@@ -121,22 +122,9 @@ class DodgeballTracker:
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return True
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return False
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def run_model_on_frame(self, model, frame):
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def run_model_on_frame(self, model, frame: VideoFrame):
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return model(frame)[0]
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def crazy_experiment(self, frame):
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cv2.putText(frame,
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"Hello world",
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(50, 50),
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cv2.FONT_HERSHEY_SIMPLEX,
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2,
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(0, 255, 0), 8)
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cv2.line(frame, (0, 0), (511, 511), (255, 0, 0), 5)
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pts = np.array([[50, 50], [500, 50], [500, 500], [50, 500], [50, 50]], np.int32)
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pts = pts.reshape((-1, 1, 2))
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cv2.polylines(frame, pts, True, (0, 255, 255), 8)
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def persist_points(self):
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with open(self.output_json_path, "wt") as file_:
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json.dump({"points": self.points}, file_, indent=4)
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@@ -144,7 +132,7 @@ class DodgeballTracker:
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def _get_tracker(self):
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return DeepOCSORT(
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Path('lmbn_n_cuhk03_d.pt'), # which ReID model to use
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get_best_available_torch_device(), # torch.cuda.get_device_name(0), #torch.device(get_best_available_torch_device()),
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get_best_available_torch_device(),
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True,
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)
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@@ -157,11 +145,9 @@ class DodgeballTracker:
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def main(self):
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# define some constants
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video_cap = cv2.VideoCapture(str(self.input_path))
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# writer = create_video_writer(video_cap, self.output_path)
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tracker = self._get_tracker()
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# load the pre-trained YOLOv8n model
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model = self._get_detection_model()
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counter = Counter()
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for i, (frame, ts) in enumerate(iter_frames(video_cap)):
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# run the YOLO model on the frame
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@@ -177,8 +163,9 @@ class DodgeballTracker:
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self.video_writer.write_frame(frame)
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if cv2.waitKey(1) == ord("q"):
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if self.video_writer.wait():
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break
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print(f"counter: {counter}")
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video_cap.release()
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self.persist_points()
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@@ -0,0 +1,7 @@
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from typing import NewType
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type XCoord = float
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type YCoord = NewType('YCoord', float)
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type Point = tuple[XCoord, YCoord]
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type VideoFrame = NewType('Frame', float)
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type VideoTimestamp = float
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@@ -1,6 +1,6 @@
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import abc
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from pathlib import Path
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from dodgeballtracker.typing import VideoFrame
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import cv2
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def create_video_writer(video_cap: cv2.VideoCapture, output_filename: Path) -> cv2.VideoWriter:
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@@ -23,35 +23,45 @@ def create_video_writer(video_cap: cv2.VideoCapture, output_filename: Path) -> c
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class VideoWriter(abc.ABC):
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@abc.abstractmethod
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def write_frame(self, frame) -> None:
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def write_frame(self, frame: VideoFrame) -> None:
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pass
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@abc.abstractmethod
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def close(self) -> None:
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pass
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@abc.abstractmethod
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def wait(self) -> bool:
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pass
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class NoopVideoWriter(VideoWriter):
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def write_frame(self, frame) -> None:
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def write_frame(self, frame: VideoFrame) -> None:
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pass
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def close(self) -> None:
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pass
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def wait(self) -> bool:
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return False
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class MP4VVideoWriter(VideoWriter):
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def __init__(self, video_writer: cv2.VideoWriter) -> None:
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self._video_writer = video_writer
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def write_frame(self, frame) -> None:
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def write_frame(self, frame: VideoFrame) -> None:
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self._video_writer.write(frame)
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def close(self) -> None:
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self._video_writer.release()
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cv2.destroyAllWindows()
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def wait(self) -> bool:
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return False #cv2.waitKey(1) == ord("q")
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@classmethod
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def from_frame(cls, input_: Path, output: Path) -> VideoWriter:
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video_cap = cv2.VideoCapture(str(input_))
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@@ -62,6 +72,9 @@ class MP4VVideoWriter(VideoWriter):
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class MP4VVideoWriterWithFrame(MP4VVideoWriter):
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def write_frame(self, frame) -> None:
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def write_frame(self, frame: VideoFrame) -> None:
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super().write_frame(frame)
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cv2.imshow("Frame", frame)
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def wait(self) -> bool:
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return cv2.waitKey(1) == ord("q")
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