dev(narugo): rebuild images for docs (96fe00ff) · Commits · git-mirror / Imgutils

docs/source/api_doc/detect/face_detect_benchmark.plot.py

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		import random

		from benchmark import BaseBenchmark, create_plot_cli
		from imgutils.detect import detect_faces
		from imgutils.detect.visual import detection_visualize
		from plot import image_plot


		def _detect(img, **kwargs):
		return detection_visualize(img, detect_faces(img, **kwargs))
		class FaceDetectBenchmark(BaseBenchmark):
		def __init__(self, level, version):
		BaseBenchmark.__init__(self)
		self.level = level
		self.version = version

		def load(self):
		from imgutils.detect.face import _open_face_detect_model
		_ = _open_face_detect_model(level=self.level, version=self.version)

		def unload(self):
		from imgutils.detect.face import _open_face_detect_model
		_open_face_detect_model.cache_clear()

		def run(self):
		image_file = random.choice(self.all_images)
		_ = detect_faces(image_file, level=self.level, version=self.version)


		if __name__ == '__main__':
		image_plot(
		(_detect('nian.png'), 'large scale'),
		(_detect('two_bikini_girls.png'), 'closed faces'),
		(_detect('genshin_post.jpg'), 'multiple'),
		(_detect('mostima_post.jpg'), 'anime style'),
		columns=2,
		figsize=(12, 9),
		)
		create_plot_cli(
		[
		('face v1 (yolov8s)', FaceDetectBenchmark('s', 'v1')),
		('face v1 (yolov8n)', FaceDetectBenchmark('n', 'v1')),
		('face v0 (yolov8s)', FaceDetectBenchmark('s', 'v0')),
		('face v0 (yolov8n)', FaceDetectBenchmark('n', 'v0')),
		],
		title='Benchmark for Anime Face Detections',
		run_times=10,
		try_times=20,
		)()

docs/source/api_doc/detect/face_detect_benchmark.plot.py.svg

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docs/source/api_doc/detect/head_detect_benchmark.plot.py

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		import random

		from benchmark import BaseBenchmark, create_plot_cli
		from imgutils.detect import detect_heads
		from imgutils.detect.visual import detection_visualize
		from plot import image_plot


		def _detect(img, **kwargs):
		return detection_visualize(img, detect_heads(img, **kwargs))
		class HeadDetectBenchmark(BaseBenchmark):
		def __init__(self, level):
		BaseBenchmark.__init__(self)
		self.level = level

		def load(self):
		from imgutils.detect.head import _open_head_detect_model
		_ = _open_head_detect_model(level=self.level)

		def unload(self):
		from imgutils.detect.head import _open_head_detect_model
		_open_head_detect_model.cache_clear()

		def run(self):
		image_file = random.choice(self.all_images)
		_ = detect_heads(image_file, level=self.level)


		if __name__ == '__main__':
		image_plot(
		(_detect('nian.png'), 'large scale'),
		(_detect('two_bikini_girls.png'), 'closed heads'),
		(_detect('genshin_post.jpg'), 'multiple'),
		(_detect('mostima_post.jpg'), 'anime style'),
		columns=2,
		figsize=(12, 9),
		)
		create_plot_cli(
		[
		('head (yolov8s)', HeadDetectBenchmark('s')),
		('head (yolov8n)', HeadDetectBenchmark('n')),
		],
		title='Benchmark for Anime Head Detections',
		run_times=10,
		try_times=20,
		)()

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docs/source/api_doc/detect/person_detect_benchmark.plot.py

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		import random

		from benchmark import BaseBenchmark, create_plot_cli
		from imgutils.detect import detect_person
		from imgutils.detect.visual import detection_visualize
		from plot import image_plot


		def _detect(img, **kwargs):
		return detection_visualize(img, detect_person(img, **kwargs))
		class PersonDetectBenchmark(BaseBenchmark):
		def __init__(self, level, version):
		BaseBenchmark.__init__(self)
		self.level = level
		self.version = version

		def load(self):
		from imgutils.detect.person import _open_person_detect_model
		_ = _open_person_detect_model(level=self.level, version=self.version)

		def unload(self):
		from imgutils.detect.person import _open_person_detect_model
		_open_person_detect_model.cache_clear()

		def run(self):
		image_file = random.choice(self.all_images)
		_ = detect_person(image_file, level=self.level, version=self.version)


		if __name__ == '__main__':
		image_plot(
		(_detect('nian.png'), 'large scale'),
		(_detect('two_bikini_girls.png'), 'closed faces'),
		(_detect('genshin_post.jpg'), 'multiple'),
		(_detect('soldiers.jpg'), 'multiple++'),
		columns=2,
		figsize=(12, 9),
		)
		create_plot_cli(
		[
		('person v1.1 (yolov8m)', PersonDetectBenchmark('m', 'v1.1')),
		('person v1.1 (yolov8s)', PersonDetectBenchmark('s', 'v1.1')),
		('person v1.1 (yolov8n)', PersonDetectBenchmark('n', 'v1.1')),
		('person v1 (yolov8m)', PersonDetectBenchmark('m', 'v1')),
		('person v0 (yolov8s)', PersonDetectBenchmark('s', 'v0')),
		('person v0 (yolov8m)', PersonDetectBenchmark('m', 'v0')),
		('person v0 (yolov8x)', PersonDetectBenchmark('x', 'v0')),
		],
		title='Benchmark for Anime Person Detections',
		run_times=10,
		try_times=20,
		)()