From 5010b8ff1492853c89a7ee0320f49cc22162f654 Mon Sep 17 00:00:00 2001 From: Lars Briem Date: Fri, 20 Sep 2024 13:23:37 +0200 Subject: [PATCH 01/11] Use pyav to fix frame shifts in OTAnalytics --- .pre-commit-config.yaml | 2 -- OTVision/detect/yolo.py | 27 ++++++++++++++++----------- requirements.txt | 1 + 3 files changed, 17 insertions(+), 13 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 29830646..ef709b61 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -47,8 +47,6 @@ repos: - types-PyYAML - types-flake8 - types-jsonschema - - types-psutil - - types-seaborn - types-setuptools - types-tqdm - types-ujson diff --git a/OTVision/detect/yolo.py b/OTVision/detect/yolo.py index 3744187c..2dd41ad2 100644 --- a/OTVision/detect/yolo.py +++ b/OTVision/detect/yolo.py @@ -25,6 +25,7 @@ from time import perf_counter from typing import Generator +import av import torch from tqdm import tqdm from ultralytics import YOLO as YOLOv8 @@ -145,17 +146,21 @@ def _load_model(self) -> YOLOv8: return model def _predict(self, video: Path) -> Generator[Results, None, None]: - return self.model.predict( - source=video, - conf=self.confidence, - iou=self.iou, - half=self.half_precision, - imgsz=self.img_size, - device=0 if torch.cuda.is_available() else "cpu", - stream=True, - verbose=False, - agnostic_nms=True, - ) + with av.open(str(video.absolute())) as container: + for frame in container.decode(video=0): + results = self.model.predict( + source=frame.to_ndarray(format="rgb24"), + conf=self.confidence, + iou=self.iou, + half=self.half_precision, + imgsz=self.img_size, + device=0 if torch.cuda.is_available() else "cpu", + stream=False, + verbose=False, + agnostic_nms=True, + ) + for result in results: + yield result def _parse_detections(self, detection_result: Boxes) -> list[Detection]: bboxes = detection_result.xywhn if self.normalized else detection_result.xywh diff --git a/requirements.txt b/requirements.txt index 21d6360d..ed2f5c8a 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,4 @@ +av==13.0.0 geopandas==1.0.1 ijson==3.3.0 moviepy==1.0.3 From ec97915cf49ddb7292fd02674e526f1193b0d655 Mon Sep 17 00:00:00 2001 From: Lars Briem Date: Tue, 24 Sep 2024 11:21:10 +0200 Subject: [PATCH 02/11] Try faster threading --- OTVision/detect/yolo.py | 1 + 1 file changed, 1 insertion(+) diff --git a/OTVision/detect/yolo.py b/OTVision/detect/yolo.py index 2dd41ad2..1be70e04 100644 --- a/OTVision/detect/yolo.py +++ b/OTVision/detect/yolo.py @@ -147,6 +147,7 @@ def _load_model(self) -> YOLOv8: def _predict(self, video: Path) -> Generator[Results, None, None]: with av.open(str(video.absolute())) as container: + container.streams.video[0].thread_type = "AUTO" for frame in container.decode(video=0): results = self.model.predict( source=frame.to_ndarray(format="rgb24"), From 22da95f8c81e429caaa580e628df92a7f957add1 Mon Sep 17 00:00:00 2001 From: Lars Briem Date: Tue, 1 Oct 2024 15:13:01 +0200 Subject: [PATCH 03/11] Rotate image according to metadata --- OTVision/detect/yolo.py | 27 ++++++++++++++++++++++++++- 1 file changed, 26 insertions(+), 1 deletion(-) diff --git a/OTVision/detect/yolo.py b/OTVision/detect/yolo.py index 1be70e04..03808814 100644 --- a/OTVision/detect/yolo.py +++ b/OTVision/detect/yolo.py @@ -26,7 +26,9 @@ from typing import Generator import av +import numpy import torch +from numpy import ndarray from tqdm import tqdm from ultralytics import YOLO as YOLOv8 from ultralytics.engine.results import Boxes, Results @@ -46,6 +48,8 @@ from OTVision.helpers.log import LOGGER_NAME from OTVision.track.preprocess import Detection +DISPLAYMATRIX = "DISPLAYMATRIX" + log = logging.getLogger(LOGGER_NAME) @@ -75,6 +79,24 @@ def detect(self, video: Path) -> list[list[Detection]]: pass +def rotate(array: ndarray, side_data: dict) -> ndarray: + """ + Rotate a numpy array using the DISPLAYMATRIX rotation angle defined in side_data. + + Args: + array: to rotate + side_data: metadata dictionary to read the angle from + + Returns: rotated array + + """ + if DISPLAYMATRIX in side_data: + rotation = side_data[DISPLAYMATRIX] / 90 + rotated_image = numpy.rot90(array, rotation) + return rotated_image + return array + + class Yolov8(ObjectDetection): """Wrapper to YOLOv8 object detection model. @@ -148,9 +170,12 @@ def _load_model(self) -> YOLOv8: def _predict(self, video: Path) -> Generator[Results, None, None]: with av.open(str(video.absolute())) as container: container.streams.video[0].thread_type = "AUTO" + side_data = container.streams.video[0].side_data for frame in container.decode(video=0): + ndarray = frame.to_ndarray(format="rgb24") + rotated_image = rotate(ndarray, side_data) results = self.model.predict( - source=frame.to_ndarray(format="rgb24"), + source=rotated_image, conf=self.confidence, iou=self.iou, half=self.half_precision, From 85b8622a159183911c9878906c2632e4fa96025b Mon Sep 17 00:00:00 2001 From: Lars Briem Date: Tue, 1 Oct 2024 15:28:47 +0200 Subject: [PATCH 04/11] Test rotate --- OTVision/detect/yolo.py | 7 ++++++- tests/detect/yolo_test.py | 29 ++++++++++++++++++++++++++++- 2 files changed, 34 insertions(+), 2 deletions(-) diff --git a/OTVision/detect/yolo.py b/OTVision/detect/yolo.py index 03808814..9ace4f2d 100644 --- a/OTVision/detect/yolo.py +++ b/OTVision/detect/yolo.py @@ -91,7 +91,12 @@ def rotate(array: ndarray, side_data: dict) -> ndarray: """ if DISPLAYMATRIX in side_data: - rotation = side_data[DISPLAYMATRIX] / 90 + angle = side_data[DISPLAYMATRIX] + if angle % 90 != 0: + raise ValueError( + f"Rotation angle must be multiple of 90 degrees, but is {angle}" + ) + rotation = angle / 90 rotated_image = numpy.rot90(array, rotation) return rotated_image return array diff --git a/tests/detect/yolo_test.py b/tests/detect/yolo_test.py index 887cb49a..222880b6 100644 --- a/tests/detect/yolo_test.py +++ b/tests/detect/yolo_test.py @@ -1,14 +1,41 @@ from pathlib import Path from unittest.mock import Mock, patch +import numpy import pytest from cv2 import VideoCapture +from numpy.testing import assert_array_equal from torch import Tensor -from OTVision.detect.yolo import Yolov8 +from OTVision.detect.yolo import DISPLAYMATRIX, Yolov8, rotate from OTVision.track.preprocess import Detection +@pytest.mark.parametrize( + "angle, expected", + [ + (90, [[2, 4], [1, 3]]), + (-90, [[3, 1], [4, 2]]), + (-180, [[4, 3], [2, 1]]), + (180, [[4, 3], [2, 1]]), + ], +) +def test_rotate(angle: int, expected: list[list[int]]) -> None: + actual_array = numpy.array([[1, 2], [3, 4]], int) + expected_array = numpy.array(expected, int) + + result = rotate(actual_array, {DISPLAYMATRIX: angle}) + + assert_array_equal(result, expected_array) + + +def test_rotate_by_non_90_degree() -> None: + actual_array = numpy.array([[1, 2], [3, 4]], int) + + with pytest.raises(ValueError): + rotate(actual_array, {DISPLAYMATRIX: 20}) + + @pytest.fixture def video_path() -> str: return str( From 5cb6bd9132f4519ef079adc8e70f73521cb2c3e0 Mon Sep 17 00:00:00 2001 From: Lars Briem Date: Tue, 1 Oct 2024 15:46:10 +0200 Subject: [PATCH 05/11] Improve error message --- tests/detect/detect_test.py | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/tests/detect/detect_test.py b/tests/detect/detect_test.py index ae848aa3..99b9c2ee 100644 --- a/tests/detect/detect_test.py +++ b/tests/detect/detect_test.py @@ -444,8 +444,15 @@ def test_detection_in_rotated_video( normal_counts = self._get_detection_counts_for(cyclist_mp4, yolov8m) deviation = 0.05 for key in [CAR, PERSON, BICYCLE]: - assert rotated_counts[key] >= normal_counts[key] * (1 - deviation) - assert rotated_counts[key] <= normal_counts[key] * (1 + deviation) + assert ( + normal_counts[key] * (1 - deviation) + <= rotated_counts[key] + <= normal_counts[key] * (1 + deviation) + ), ( + f"Failed class: {key}, " + f"normal counts: {normal_counts[key]}, " + f"rotated counts: {rotated_counts[key]}" + ) def _get_detection_counts_for( self, converted_video: Path, yolov8m: Yolov8 From a51cca4666694bf6f010c71f5ed2957469bc8121 Mon Sep 17 00:00:00 2001 From: Lars Briem Date: Tue, 1 Oct 2024 15:58:01 +0200 Subject: [PATCH 06/11] Allow larger deviation in rotated video test --- tests/detect/detect_test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/detect/detect_test.py b/tests/detect/detect_test.py index 99b9c2ee..25e1af1e 100644 --- a/tests/detect/detect_test.py +++ b/tests/detect/detect_test.py @@ -442,7 +442,7 @@ def test_detection_in_rotated_video( rotated_counts = self._get_detection_counts_for(converted_video, yolov8m) normal_counts = self._get_detection_counts_for(cyclist_mp4, yolov8m) - deviation = 0.05 + deviation = 0.08 for key in [CAR, PERSON, BICYCLE]: assert ( normal_counts[key] * (1 - deviation) From dc0cecd8324f7cfb0b84456c945da3c08741fca2 Mon Sep 17 00:00:00 2001 From: Lars Briem Date: Tue, 1 Oct 2024 17:01:54 +0200 Subject: [PATCH 07/11] Allow larger deviation in rotated video test --- tests/detect/detect_test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/detect/detect_test.py b/tests/detect/detect_test.py index 25e1af1e..5561fd17 100644 --- a/tests/detect/detect_test.py +++ b/tests/detect/detect_test.py @@ -442,7 +442,7 @@ def test_detection_in_rotated_video( rotated_counts = self._get_detection_counts_for(converted_video, yolov8m) normal_counts = self._get_detection_counts_for(cyclist_mp4, yolov8m) - deviation = 0.08 + deviation = 0.10 for key in [CAR, PERSON, BICYCLE]: assert ( normal_counts[key] * (1 - deviation) From 49b92ba10462a7b94ef55d26c270ba9c599e48e3 Mon Sep 17 00:00:00 2001 From: Randy Seng <19281702+randy-seng@users.noreply.github.com> Date: Wed, 16 Oct 2024 15:17:09 +0200 Subject: [PATCH 08/11] Add correctly rotated cyclist mp4 video --- ...o_Cars-Cyclist_FR20_2020-01-01_00-00-00.mp4 | Bin 0 -> 159387 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 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zYhl1U0svS}&VLgAZh!Bc7g&mS9t}8;_d>kGyB>%jgGT@I<@ienEXp4n;Q-~Rqv`@i@1-{gPJ`@hZOzxDgy+W&_gn5=*H z`+prDF0i&n?+FINKWh74_dhiT2iiRUSpIqe>MNsw$0G!=7Qn%xzSr;^=qe0EN#LDA ze1J0W<2A@T0%gQmAbkZQ4*&q;52P4CI`Knw-8 zr2(#9Mj(F+L`Uyw_fbDI7v;|1}fV2^)2Tl?(AK3O8h?D>T0yU8C0mlLy7o;+f zp9IFK1}^OpU_OAcAjp6>kEa6iz%iq|0A+n34;%{|8xX~STQaVJ?eKvAM418UIB?p) zwQpqi*YyA72RJ5xfs3)T0g!6gnEavdW}<&T!2nN6jt2Jj@8^L31+*4_oyADYo$cNO Z;u;(LX$(vv03dDPYRb+;4}35({tvq|7-|3j literal 0 HcmV?d00001 From e0d20ccddb4e5b1a449ba77a342c63418998564a Mon Sep 17 00:00:00 2001 From: Randy Seng <19281702+randy-seng@users.noreply.github.com> Date: Wed, 16 Oct 2024 15:21:39 +0200 Subject: [PATCH 09/11] Use correctly rotated unit tests without missing frames and revert deviation back to 0.05 --- tests/detect/detect_test.py | 48 ++++++++++--------------------------- 1 file changed, 12 insertions(+), 36 deletions(-) diff --git a/tests/detect/detect_test.py b/tests/detect/detect_test.py index 5561fd17..139f354a 100644 --- a/tests/detect/detect_test.py +++ b/tests/detect/detect_test.py @@ -4,7 +4,6 @@ import os import platform import shutil -import subprocess from dataclasses import dataclass from datetime import datetime, timedelta, timezone from pathlib import Path @@ -14,7 +13,6 @@ import OTVision.config as config from OTVision.config import DEFAULT_EXPECTED_DURATION -from OTVision.convert.convert import _get_ffmpeg_command, convert from OTVision.dataformat import ( CLASS, CONFIDENCE, @@ -177,6 +175,15 @@ def cyclist_mp4(detect_test_data_dir: Path, detect_test_tmp_dir: Path) -> Path: return dest +@pytest.fixture(scope="module") +def rotated_cyclist_mp4(detect_test_data_dir: Path, detect_test_tmp_dir: Path) -> Path: + file_name = "rotated-Testvideo_Cars-Cyclist_FR20_2020-01-01_00-00-00.mp4" + src = detect_test_data_dir / file_name + dest = detect_test_tmp_dir / file_name + shutil.copy2(src, dest) + return dest + + @pytest.fixture(scope="module") def truck_mp4(detect_test_data_dir: Path, detect_test_tmp_dir: Path) -> Path: file_name = "Testvideo_Cars-Truck_FR20_2020-01-01_00-00-00.mp4" @@ -405,44 +412,13 @@ def test_detection_in_rotated_video( self, yolov8m: Yolov8, cyclist_mp4: Path, + rotated_cyclist_mp4: Path, test_data_dir: Path, test_data_tmp_dir: Path, ) -> None: - output_filetype = ".mp4" - input_file = ( - test_data_dir / "Testvideo_Cars-Cyclist_FR20_2020-01-01_00-00-00.h264" - ) - rotated_video = test_data_tmp_dir / f"rotate-{input_file.name}" - filter_cmds = ["-vf", "transpose=1, transpose=1"] - ffmpeg_cmd = _get_ffmpeg_command( - input_file, - 20, - 0, - 20, - rotated_video, - filter_cmds=filter_cmds, - ) - - subprocess.run( - ffmpeg_cmd, - check=True, - stdout=subprocess.DEVNULL, - stderr=subprocess.STDOUT, - ) - - convert( - input_video_file=rotated_video, - output_filetype=output_filetype, - rotation=180, - fps_from_filename=False, - ) - - converted_video = test_data_tmp_dir / f"{rotated_video.stem}{output_filetype}" - - rotated_counts = self._get_detection_counts_for(converted_video, yolov8m) - + rotated_counts = self._get_detection_counts_for(rotated_cyclist_mp4, yolov8m) normal_counts = self._get_detection_counts_for(cyclist_mp4, yolov8m) - deviation = 0.10 + deviation = 0.05 for key in [CAR, PERSON, BICYCLE]: assert ( normal_counts[key] * (1 - deviation) From 894ea3ceca33e3084be592920f4e8d1e69b1b2af Mon Sep 17 00:00:00 2001 From: Lars Briem Date: Thu, 24 Oct 2024 14:50:33 +0200 Subject: [PATCH 10/11] Compare detections of rotated video against absolute truth as with non rotated video --- tests/detect/detect_test.py | 53 +++++++++++++++++++++---------------- 1 file changed, 30 insertions(+), 23 deletions(-) diff --git a/tests/detect/detect_test.py b/tests/detect/detect_test.py index 139f354a..e488878e 100644 --- a/tests/detect/detect_test.py +++ b/tests/detect/detect_test.py @@ -35,6 +35,14 @@ from OTVision.detect.yolo import Yolov8, loadmodel from tests.conftest import YieldFixture +DEVIATION = 0.22 +BICYCLE_UPPER_LIMIT = int(60 * (1 + DEVIATION)) +PERSON_UPPER_LIMIT = int(120 * (1 + DEVIATION)) +CAR_UPPER_LIMIT = int(120 * (1 + DEVIATION)) +BICYCLE_LOWER_LIMIT = int(60 * (1 - DEVIATION)) +PERSON_LOWER_LIMIT = int(120 * (1 - DEVIATION)) +CAR_LOWER_LIMIT = int(120 * (1 - DEVIATION)) + CAR = "car" TRUCK = "truck" PERSON = "person" @@ -397,16 +405,14 @@ def test_detect_overwrite( def test_detect_fulfill_minimum_detection_requirements( self, yolov8m: Yolov8, cyclist_mp4: Path ) -> None: - deviation = 0.2 - class_counts = self._get_detection_counts_for(cyclist_mp4, yolov8m) - assert class_counts[CAR] >= 120 * (1 - deviation) - assert class_counts[PERSON] >= 120 * (1 - deviation) - assert class_counts[BICYCLE] >= 60 * (1 - deviation) - assert class_counts[CAR] <= 120 * (1 + deviation) - assert class_counts[PERSON] <= 120 * (1 + deviation) - assert class_counts[BICYCLE] <= 60 * (1 + deviation) + assert class_counts[CAR] >= CAR_LOWER_LIMIT + assert class_counts[PERSON] >= PERSON_LOWER_LIMIT + assert class_counts[BICYCLE] >= BICYCLE_LOWER_LIMIT + assert class_counts[CAR] <= CAR_UPPER_LIMIT + assert class_counts[PERSON] <= PERSON_UPPER_LIMIT + assert class_counts[BICYCLE] <= BICYCLE_UPPER_LIMIT def test_detection_in_rotated_video( self, @@ -416,28 +422,29 @@ def test_detection_in_rotated_video( test_data_dir: Path, test_data_tmp_dir: Path, ) -> None: - rotated_counts = self._get_detection_counts_for(rotated_cyclist_mp4, yolov8m) - normal_counts = self._get_detection_counts_for(cyclist_mp4, yolov8m) - deviation = 0.05 - for key in [CAR, PERSON, BICYCLE]: - assert ( - normal_counts[key] * (1 - deviation) - <= rotated_counts[key] - <= normal_counts[key] * (1 + deviation) - ), ( - f"Failed class: {key}, " - f"normal counts: {normal_counts[key]}, " - f"rotated counts: {rotated_counts[key]}" - ) + video_length = timedelta(seconds=3) + rotated_counts = self._get_detection_counts_for( + rotated_cyclist_mp4, yolov8m, video_length + ) + + assert rotated_counts[CAR] >= CAR_LOWER_LIMIT + assert rotated_counts[PERSON] >= PERSON_LOWER_LIMIT + assert rotated_counts[BICYCLE] >= BICYCLE_LOWER_LIMIT + assert rotated_counts[CAR] <= CAR_UPPER_LIMIT + assert rotated_counts[PERSON] <= PERSON_UPPER_LIMIT + assert rotated_counts[BICYCLE] <= BICYCLE_UPPER_LIMIT def _get_detection_counts_for( - self, converted_video: Path, yolov8m: Yolov8 + self, + converted_video: Path, + yolov8m: Yolov8, + expected_duration: timedelta = DEFAULT_EXPECTED_DURATION, ) -> dict[str, float]: yolov8m.confidence = 0.5 detect( paths=[converted_video], model=yolov8m, - expected_duration=DEFAULT_EXPECTED_DURATION, + expected_duration=expected_duration, ) result_otdet = converted_video.parent / converted_video.with_suffix(".otdet") otdet_dict = read_bz2_otdet(result_otdet) From ab174e2cf4e1c429a56bf203628c1d548ff9fac8 Mon Sep 17 00:00:00 2001 From: Lars Briem Date: Fri, 25 Oct 2024 09:12:49 +0200 Subject: [PATCH 11/11] Use correct video length --- tests/detect/detect_test.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/tests/detect/detect_test.py b/tests/detect/detect_test.py index e488878e..9dcc3fa3 100644 --- a/tests/detect/detect_test.py +++ b/tests/detect/detect_test.py @@ -35,6 +35,7 @@ from OTVision.detect.yolo import Yolov8, loadmodel from tests.conftest import YieldFixture +CYCLIST_VIDEO_LENGTH = timedelta(seconds=3) DEVIATION = 0.22 BICYCLE_UPPER_LIMIT = int(60 * (1 + DEVIATION)) PERSON_UPPER_LIMIT = int(120 * (1 + DEVIATION)) @@ -405,7 +406,9 @@ def test_detect_overwrite( def test_detect_fulfill_minimum_detection_requirements( self, yolov8m: Yolov8, cyclist_mp4: Path ) -> None: - class_counts = self._get_detection_counts_for(cyclist_mp4, yolov8m) + class_counts = self._get_detection_counts_for( + cyclist_mp4, yolov8m, CYCLIST_VIDEO_LENGTH + ) assert class_counts[CAR] >= CAR_LOWER_LIMIT assert class_counts[PERSON] >= PERSON_LOWER_LIMIT @@ -422,9 +425,8 @@ def test_detection_in_rotated_video( test_data_dir: Path, test_data_tmp_dir: Path, ) -> None: - video_length = timedelta(seconds=3) rotated_counts = self._get_detection_counts_for( - rotated_cyclist_mp4, yolov8m, video_length + rotated_cyclist_mp4, yolov8m, CYCLIST_VIDEO_LENGTH ) assert rotated_counts[CAR] >= CAR_LOWER_LIMIT