From bc825934df23de7a9410bb02cd4b644e79ac04d4 Mon Sep 17 00:00:00 2001 From: narugo1992 Date: Sun, 8 Dec 2024 20:22:50 +0800 Subject: [PATCH 1/7] dev(narugo): defaultly disable the dynamic size of yolo models --- imgutils/generic/yolo.py | 47 ++++++++++++++++++++++++++++++---------- 1 file changed, 35 insertions(+), 12 deletions(-) diff --git a/imgutils/generic/yolo.py b/imgutils/generic/yolo.py index 6b22292a90..8816fc0e52 100644 --- a/imgutils/generic/yolo.py +++ b/imgutils/generic/yolo.py @@ -16,7 +16,7 @@ import math import os from threading import Lock -from typing import List, Optional, Tuple +from typing import List, Optional, Tuple, Union import numpy as np from PIL import Image @@ -155,7 +155,8 @@ def _yolo_nms(boxes, scores, iou_threshold: float = 0.7) -> List[int]: return keep -def _image_preprocess(image: Image.Image, max_infer_size: int = 1216, align: int = 32): +def _image_preprocess(image: Image.Image, max_infer_size: Union[int, Tuple[int, int]] = 1216, + allow_dynamic: bool = False, align: int = 32): """ Preprocess an input image for inference. @@ -166,6 +167,8 @@ def _image_preprocess(image: Image.Image, max_infer_size: int = 1216, align: int :type image: Image.Image :param max_infer_size: Maximum size (width or height) of the processed image. Default is 1216. :type max_infer_size: int + :param allow_dynamic: If True, allows dynamic resizing of the image while maintaining aspect ratio. Default is False. + :type allow_dynamic: bool :param align: Value to align the image dimensions to. Default is 32. :type align: int @@ -183,13 +186,22 @@ def _image_preprocess(image: Image.Image, max_infer_size: int = 1216, align: int >>> print(old_size, new_size) (1000, 800) (1216, 992) """ + if isinstance(max_infer_size, int): + max_infer_width, max_infer_height = max_infer_size, max_infer_size + else: + max_infer_width, max_infer_height = max_infer_size + old_width, old_height = image.width, image.height new_width, new_height = old_width, old_height - r = max_infer_size / max(new_width, new_height) - if r < 1: - new_width, new_height = new_width * r, new_height * r - new_width = int(math.ceil(new_width / align) * align) - new_height = int(math.ceil(new_height / align) * align) + if allow_dynamic: + r = min(max_infer_width / new_width, max_infer_height / new_height) + if r < 1: + new_width, new_height = new_width * r, new_height * r + new_width = int(math.ceil(new_width / align) * align) + new_height = int(math.ceil(new_height / align) * align) + else: + new_width, new_height = max_infer_width, max_infer_height + image = image.resize((new_width, new_height)) return image, (old_width, old_height), (new_width, new_height) @@ -539,7 +551,8 @@ def _open_model(self, model_name: str): )) model_metadata = model.get_modelmeta() if 'imgsz' in model_metadata.custom_metadata_map: - max_infer_size = max(json.loads(model_metadata.custom_metadata_map['imgsz'])) + max_infer_size = tuple(json.loads(model_metadata.custom_metadata_map['imgsz'])) + assert len(max_infer_size) == 2, f'imgsz should have 2 dims, but {max_infer_size!r} found.' else: max_infer_size = 640 names_map = _safe_eval_names_str(model_metadata.custom_metadata_map['names']) @@ -567,7 +580,8 @@ def _get_model_type(self, model_name: str): return self._model_types[model_name] def predict(self, image: ImageTyping, model_name: str, - conf_threshold: float = 0.25, iou_threshold: float = 0.7) \ + conf_threshold: float = 0.25, iou_threshold: float = 0.7, + allow_dynamic: bool = False) \ -> List[Tuple[Tuple[int, int, int, int], str, float]]: """ Perform object detection on an image using the specified YOLO model. @@ -580,6 +594,9 @@ def predict(self, image: ImageTyping, model_name: str, :type conf_threshold: float :param iou_threshold: IoU threshold for non-maximum suppression. Default is 0.7. :type iou_threshold: float + :param allow_dynamic: If True, allows dynamic resizing of the image while maintaining aspect ratio. + Default is False. + :type allow_dynamic: bool :return: List of detections, each in the format ((x0, y0, x1, y1), label, confidence). :rtype: List[Tuple[Tuple[int, int, int, int], str, float]] @@ -594,8 +611,9 @@ def predict(self, image: ImageTyping, model_name: str, """ model, max_infer_size, labels = self._open_model(model_name) image = load_image(image, mode='RGB') - new_image, old_size, new_size = _image_preprocess(image, max_infer_size) + new_image, old_size, new_size = _image_preprocess(image, max_infer_size, allow_dynamic=allow_dynamic) data = rgb_encode(new_image)[None, ...] + print(data.shape) output, = model.run(['output0'], {'images': data}) model_type = self._get_model_type(model_name=model_name) if model_type == 'yolo': @@ -669,7 +687,8 @@ def make_ui(self, default_model_name: Optional[str] = None, default_model_name = selected_model_name def _gr_detect(image: ImageTyping, model_name: str, - iou_threshold: float = 0.7, score_threshold: float = 0.25) \ + iou_threshold: float = 0.7, score_threshold: float = 0.25, + allow_dynamic: bool = False) \ -> gr.AnnotatedImage: _, _, labels = self._open_model(model_name=model_name) _colors = list(map(str, rnd_colors(len(labels)))) @@ -682,6 +701,7 @@ def _gr_detect(image: ImageTyping, model_name: str, model_name=model_name, iou_threshold=iou_threshold, conf_threshold=score_threshold, + allow_dynamic=allow_dynamic, ) ]), color_map=_color_map, @@ -691,7 +711,9 @@ def _gr_detect(image: ImageTyping, model_name: str, with gr.Row(): with gr.Column(): gr_input_image = gr.Image(type='pil', label='Original Image') - gr_model = gr.Dropdown(model_list, value=default_model_name, label='Model') + with gr.Row(): + gr_model = gr.Dropdown(model_list, value=default_model_name, label='Model') + gr_allow_dynamic = gr.Checkbox(value=False, label='Allow Dynamic Size') with gr.Row(): gr_iou_threshold = gr.Slider(0.0, 1.0, default_iou_threshold, label='IOU Threshold') gr_score_threshold = gr.Slider(0.0, 1.0, default_conf_threshold, label='Score Threshold') @@ -708,6 +730,7 @@ def _gr_detect(image: ImageTyping, model_name: str, gr_model, gr_iou_threshold, gr_score_threshold, + gr_allow_dynamic, ], outputs=[gr_output_image], ) From 15afb337aec1f663618f732ff8337ff095eba1bc Mon Sep 17 00:00:00 2001 From: narugo1992 Date: Sun, 8 Dec 2024 22:17:09 +0800 Subject: [PATCH 2/7] dev(narugo): use new method for object detections --- imgutils/detect/booru_yolo.py | 3 ++- imgutils/detect/censor.py | 3 ++- imgutils/detect/eye.py | 3 ++- imgutils/detect/face.py | 3 ++- imgutils/detect/halfbody.py | 3 ++- imgutils/detect/hand.py | 3 ++- imgutils/detect/head.py | 3 ++- imgutils/detect/person.py | 3 ++- imgutils/generic/yolo.py | 4 ++-- test/detect/test_booru_yolo.py | 24 ++++++++---------------- test/detect/test_censor.py | 19 +++++++------------ test/detect/test_eye.py | 17 ++++++----------- test/detect/test_face.py | 21 ++++++++------------- test/detect/test_halfbody.py | 15 +++++---------- test/detect/test_hand.py | 4 ++-- test/detect/test_head.py | 26 +++++++++++++++----------- test/detect/test_person.py | 19 +++++++------------ 17 files changed, 76 insertions(+), 97 deletions(-) diff --git a/imgutils/detect/booru_yolo.py b/imgutils/detect/booru_yolo.py index 9d7687236a..119183eeab 100644 --- a/imgutils/detect/booru_yolo.py +++ b/imgutils/detect/booru_yolo.py @@ -180,7 +180,7 @@ def detect_with_booru_yolo(image: ImageTyping, model_name: str = _DEFAULT_MODEL, - conf_threshold: float = 0.25, iou_threshold: float = 0.7) \ + conf_threshold: float = 0.25, iou_threshold: float = 0.7, **kwargs) \ -> List[Tuple[Tuple[int, int, int, int], str, float]]: """ Perform object detection on an image using the Booru YOLO model. @@ -209,4 +209,5 @@ def detect_with_booru_yolo(image: ImageTyping, model_name: str = _DEFAULT_MODEL, model_name=model_name, conf_threshold=conf_threshold, iou_threshold=iou_threshold, + **kwargs, ) diff --git a/imgutils/detect/censor.py b/imgutils/detect/censor.py index b795ed6ed2..156ef46de7 100644 --- a/imgutils/detect/censor.py +++ b/imgutils/detect/censor.py @@ -24,7 +24,7 @@ def detect_censors(image: ImageTyping, level: str = 's', version: str = 'v1.0', model_name: Optional[str] = None, - conf_threshold: float = 0.3, iou_threshold: float = 0.7) \ + conf_threshold: float = 0.3, iou_threshold: float = 0.7, **kwargs) \ -> List[Tuple[Tuple[int, int, int, int], str, float]]: """ Detect human censor points in anime images. @@ -88,4 +88,5 @@ def detect_censors(image: ImageTyping, level: str = 's', version: str = 'v1.0', model_name=model_name or f'censor_detect_{version}_{level}', conf_threshold=conf_threshold, iou_threshold=iou_threshold, + **kwargs, ) diff --git a/imgutils/detect/eye.py b/imgutils/detect/eye.py index 4f9eb99a3a..ee3b4d083b 100644 --- a/imgutils/detect/eye.py +++ b/imgutils/detect/eye.py @@ -22,7 +22,7 @@ def detect_eyes(image: ImageTyping, level: str = 's', version: str = 'v1.0', model_name: Optional[str] = None, - conf_threshold: float = 0.3, iou_threshold: float = 0.3) \ + conf_threshold: float = 0.3, iou_threshold: float = 0.3, **kwargs) \ -> List[Tuple[Tuple[int, int, int, int], str, float]]: """ Detect human eyes in anime images. @@ -79,4 +79,5 @@ def detect_eyes(image: ImageTyping, level: str = 's', version: str = 'v1.0', mod model_name=model_name or f'eye_detect_{version}_{level}', conf_threshold=conf_threshold, iou_threshold=iou_threshold, + **kwargs, ) diff --git a/imgutils/detect/face.py b/imgutils/detect/face.py index b73411451a..41270e1696 100644 --- a/imgutils/detect/face.py +++ b/imgutils/detect/face.py @@ -26,7 +26,7 @@ def detect_faces(image: ImageTyping, level: str = 's', version: str = 'v1.4', model_name: Optional[str] = None, - conf_threshold: float = 0.25, iou_threshold: float = 0.7) \ + conf_threshold: float = 0.25, iou_threshold: float = 0.7, **kwargs) \ -> List[Tuple[Tuple[int, int, int, int], str, float]]: """ Detect human faces in anime images using YOLOv8 models. @@ -87,4 +87,5 @@ def detect_faces(image: ImageTyping, level: str = 's', version: str = 'v1.4', mo model_name=model_name or f'face_detect_{version}_{level}', conf_threshold=conf_threshold, iou_threshold=iou_threshold, + **kwargs, ) diff --git a/imgutils/detect/halfbody.py b/imgutils/detect/halfbody.py index e6b5c6b927..9327f9135e 100644 --- a/imgutils/detect/halfbody.py +++ b/imgutils/detect/halfbody.py @@ -30,7 +30,7 @@ def detect_halfbody(image: ImageTyping, level: str = 's', version: str = 'v1.0', model_name: Optional[str] = None, - conf_threshold: float = 0.5, iou_threshold: float = 0.7) \ + conf_threshold: float = 0.5, iou_threshold: float = 0.7, **kwargs) \ -> List[Tuple[Tuple[int, int, int, int], str, float]]: """ Detect human upper-half body in anime images. @@ -87,4 +87,5 @@ def detect_halfbody(image: ImageTyping, level: str = 's', version: str = 'v1.0', model_name=model_name or f'halfbody_detect_{version}_{level}', conf_threshold=conf_threshold, iou_threshold=iou_threshold, + **kwargs, ) diff --git a/imgutils/detect/hand.py b/imgutils/detect/hand.py index b8a3fec9ea..4472561644 100644 --- a/imgutils/detect/hand.py +++ b/imgutils/detect/hand.py @@ -25,7 +25,7 @@ def detect_hands(image: ImageTyping, level: str = 's', version: str = 'v1.0', model_name: Optional[str] = None, - conf_threshold: float = 0.35, iou_threshold: float = 0.7) \ + conf_threshold: float = 0.35, iou_threshold: float = 0.7, **kwargs) \ -> List[Tuple[Tuple[int, int, int, int], str, float]]: """ Detect human hand points in anime images. @@ -76,4 +76,5 @@ def detect_hands(image: ImageTyping, level: str = 's', version: str = 'v1.0', mo model_name=model_name or f'hand_detect_{version}_{level}', conf_threshold=conf_threshold, iou_threshold=iou_threshold, + **kwargs, ) diff --git a/imgutils/detect/head.py b/imgutils/detect/head.py index fea66d3d10..720d51d3e0 100644 --- a/imgutils/detect/head.py +++ b/imgutils/detect/head.py @@ -34,7 +34,7 @@ def detect_heads(image: ImageTyping, level: Optional[str] = None, model_name: Optional[str] = 'head_detect_v2.0_s', - conf_threshold: float = 0.4, iou_threshold: float = 0.7) \ + conf_threshold: float = 0.4, iou_threshold: float = 0.7, **kwargs) \ -> List[Tuple[Tuple[int, int, int, int], str, float]]: """ Detect human heads in anime images using YOLOv8 models. @@ -96,4 +96,5 @@ def detect_heads(image: ImageTyping, level: Optional[str] = None, model_name=model_name or f'head_detect_v0_{level or "s"}', conf_threshold=conf_threshold, iou_threshold=iou_threshold, + **kwargs, ) diff --git a/imgutils/detect/person.py b/imgutils/detect/person.py index 157f9213e2..fe191dc005 100644 --- a/imgutils/detect/person.py +++ b/imgutils/detect/person.py @@ -28,7 +28,7 @@ def detect_person(image: ImageTyping, level: str = 'm', version: str = 'v1.1', model_name: Optional[str] = None, - conf_threshold: float = 0.3, iou_threshold: float = 0.5): + conf_threshold: float = 0.3, iou_threshold: float = 0.5, **kwargs): """ Detect human bodies (including the entire body) in anime images. @@ -83,4 +83,5 @@ def detect_person(image: ImageTyping, level: str = 'm', version: str = 'v1.1', m model_name=model_name or f'person_detect_{version}_{level}', conf_threshold=conf_threshold, iou_threshold=iou_threshold, + **kwargs, ) diff --git a/imgutils/generic/yolo.py b/imgutils/generic/yolo.py index 8816fc0e52..0bbfb740a0 100644 --- a/imgutils/generic/yolo.py +++ b/imgutils/generic/yolo.py @@ -613,7 +613,6 @@ def predict(self, image: ImageTyping, model_name: str, image = load_image(image, mode='RGB') new_image, old_size, new_size = _image_preprocess(image, max_infer_size, allow_dynamic=allow_dynamic) data = rgb_encode(new_image)[None, ...] - print(data.shape) output, = model.run(['output0'], {'images': data}) model_type = self._get_model_type(model_name=model_name) if model_type == 'yolo': @@ -814,7 +813,7 @@ def _open_models_for_repo_id(repo_id: str, hf_token: Optional[str] = None) -> YO def yolo_predict(image: ImageTyping, repo_id: str, model_name: str, conf_threshold: float = 0.25, iou_threshold: float = 0.7, - hf_token: Optional[str] = None) \ + hf_token: Optional[str] = None, **kwargs) \ -> List[Tuple[Tuple[int, int, int, int], str, float]]: """ Perform object detection on an image using a YOLO model from a Hugging Face repository. @@ -851,4 +850,5 @@ def yolo_predict(image: ImageTyping, repo_id: str, model_name: str, model_name=model_name, conf_threshold=conf_threshold, iou_threshold=iou_threshold, + **kwargs, ) diff --git a/test/detect/test_booru_yolo.py b/test/detect/test_booru_yolo.py index beb18723ab..3c6ba98ca6 100644 --- a/test/detect/test_booru_yolo.py +++ b/test/detect/test_booru_yolo.py @@ -1,7 +1,7 @@ import pytest from PIL import Image -from imgutils.detect import detect_with_booru_yolo +from imgutils.detect import detect_with_booru_yolo, detection_similarity from imgutils.generic.yolo import _open_models_for_repo_id from ..testings import get_testfile @@ -27,9 +27,9 @@ def nude_girl_image(nude_girl_file): @pytest.fixture() def nude_girl_detection(): return [ - ((236, 1, 452, 247), 'head', 0.9584360718727112), - ((211, 236, 431, 346), 'boob', 0.9300149083137512), - ((62, 402, 427, 697), 'sprd', 0.8708215951919556) + ((243, 0, 444, 253), 'head', 0.9584344029426575), + ((213, 231, 426, 358), 'boob', 0.9308794140815735), + ((86, 393, 401, 701), 'sprd', 0.8639463186264038) ] @@ -37,18 +37,10 @@ def nude_girl_detection(): class TestDetectBooruYOLO: def test_detect_with_booru_yolo_file(self, nude_girl_file, nude_girl_detection): detection = detect_with_booru_yolo(nude_girl_file) - assert [label for _, label, _ in detection] == \ - [label for _, label, _ in nude_girl_detection] - for (actual_box, _, _), (expected_box, _, _) in zip(detection, nude_girl_detection): - assert actual_box == pytest.approx(expected_box) - assert [score for _, _, score in detection] == \ - pytest.approx([score for _, _, score in nude_girl_detection], abs=1e-4) + similarity = detection_similarity(detection, nude_girl_detection) + assert similarity >= 0.9 def test_detect_with_booru_yolo_image(self, nude_girl_image, nude_girl_detection): detection = detect_with_booru_yolo(nude_girl_image) - assert [label for _, label, _ in detection] == \ - [label for _, label, _ in nude_girl_detection] - for (actual_box, _, _), (expected_box, _, _) in zip(detection, nude_girl_detection): - assert actual_box == pytest.approx(expected_box) - assert [score for _, _, score in detection] == \ - pytest.approx([score for _, _, score in nude_girl_detection], abs=1e-4) + similarity = detection_similarity(detection, nude_girl_detection) + assert similarity >= 0.9 diff --git a/test/detect/test_censor.py b/test/detect/test_censor.py index 7d2839ca0e..5b3f6767ec 100644 --- a/test/detect/test_censor.py +++ b/test/detect/test_censor.py @@ -1,5 +1,6 @@ import pytest +from imgutils.detect import detection_similarity from imgutils.detect.censor import detect_censors from imgutils.generic.yolo import _open_models_for_repo_id from test.testings import get_testfile @@ -16,19 +17,13 @@ def _release_model_after_run(): @pytest.mark.unittest class TestDetectCensor: def test_detect_censors(self): - detections = detect_censors(get_testfile('nude_girl.png')) - assert len(detections) == 3 - - values = [] - for bbox, label, score in detections: - assert label in {'nipple_f', 'penis', 'pussy'} - values.append((bbox, int(score * 1000) / 1000)) - - assert values == pytest.approx([ - ((365, 264, 399, 289), 0.747), - ((224, 260, 252, 285), 0.683), - ((206, 523, 240, 608), 0.679), + detection = detect_censors(get_testfile('nude_girl.png')) + similarity = detection_similarity(detection, [ + ((365, 264, 398, 289), 'nipple_f', 0.7295440435409546), + ((207, 525, 237, 610), 'pussy', 0.7148708701133728), + ((224, 261, 250, 287), 'nipple_f', 0.6702285408973694), ]) + assert similarity >= 0.9 def test_detect_censors_none(self): assert detect_censors(get_testfile('png_full.png')) == [] diff --git a/test/detect/test_eye.py b/test/detect/test_eye.py index eced393b04..c43602c79c 100644 --- a/test/detect/test_eye.py +++ b/test/detect/test_eye.py @@ -1,5 +1,6 @@ import pytest +from imgutils.detect import detection_similarity from imgutils.detect.eye import detect_eyes from imgutils.generic.yolo import _open_models_for_repo_id from test.testings import get_testfile @@ -16,18 +17,12 @@ def _release_model_after_run(): @pytest.mark.unittest class TestDetectEyes: def test_detect_eye(self): - detections = detect_eyes(get_testfile('nude_girl.png')) - assert len(detections) == 2 - - values = [] - for bbox, label, score in detections: - assert label in {'eye'} - values.append((bbox, int(score * 1000) / 1000)) - - assert values == pytest.approx([ - ((350, 160, 382, 173), 0.788), - ((294, 170, 319, 181), 0.756), + detection = detect_eyes(get_testfile('nude_girl.png')) + similarity = detection_similarity(detection, [ + ((350, 159, 382, 173), 'eye', 0.7742469310760498), + ((295, 169, 319, 181), 'eye', 0.7276312112808228) ]) + assert similarity >= 0.9 def test_detect_eye_none(self): assert detect_eyes(get_testfile('png_full.png')) == [] diff --git a/test/detect/test_face.py b/test/detect/test_face.py index 85303291bb..a54f427bde 100644 --- a/test/detect/test_face.py +++ b/test/detect/test_face.py @@ -1,5 +1,6 @@ import pytest +from imgutils.detect import detection_similarity from imgutils.detect.face import detect_faces from imgutils.generic.yolo import _open_models_for_repo_id from test.testings import get_testfile @@ -16,20 +17,14 @@ def _release_model_after_run(): @pytest.mark.unittest class TestDetectHead: def test_detect_faces(self): - detections = detect_faces(get_testfile('genshin_post.jpg')) - assert len(detections) == 4 - - values = [] - for bbox, label, score in detections: - assert label == 'face' - values.append((bbox, int(score * 1000) / 1000)) - - assert values == pytest.approx([ - ((967, 143, 1084, 261), 0.851), - ((246, 208, 331, 287), 0.81), - ((662, 466, 705, 514), 0.733), - ((479, 283, 523, 326), 0.72), + detection = detect_faces(get_testfile('genshin_post.jpg')) + similarity = detection_similarity(detection, [ + ((966, 142, 1085, 261), 'face', 0.850458025932312), + ((247, 209, 330, 288), 'face', 0.8288277387619019), + ((661, 467, 706, 512), 'face', 0.754958987236023), + ((481, 282, 522, 325), 'face', 0.7148504257202148) ]) + assert similarity >= 0.9 def test_detect_faces_none(self): assert detect_faces(get_testfile('png_full.png')) == [] diff --git a/test/detect/test_halfbody.py b/test/detect/test_halfbody.py index 5524dbe678..995ab2be1a 100644 --- a/test/detect/test_halfbody.py +++ b/test/detect/test_halfbody.py @@ -1,5 +1,6 @@ import pytest +from imgutils.detect import detection_similarity from imgutils.detect.halfbody import detect_halfbody from imgutils.generic.yolo import _open_models_for_repo_id from test.testings import get_testfile @@ -16,17 +17,11 @@ def _release_model_after_run(): @pytest.mark.unittest class TestDetectHalfBody: def test_detect_halfbody(self): - detections = detect_halfbody(get_testfile('nude_girl.png')) - assert len(detections) == 1 - - values = [] - for bbox, label, score in detections: - assert label in {'halfbody'} - values.append((bbox, int(score * 1000) / 1000)) - - assert values == pytest.approx([ - ((105, 0, 511, 480), 0.918), + detection = detect_halfbody(get_testfile('nude_girl.png')) + similarity = detection_similarity(detection, [ + ((117, 0, 511, 484), 'halfbody', 0.8835344314575195) ]) + assert similarity >= 0.9 def test_detect_halfbody_none(self): assert detect_halfbody(get_testfile('png_full.png')) == [] diff --git a/test/detect/test_hand.py b/test/detect/test_hand.py index 59a1133130..b496f865fa 100644 --- a/test/detect/test_hand.py +++ b/test/detect/test_hand.py @@ -14,7 +14,7 @@ def _release_model_after_run(): @pytest.mark.unittest -class TestDetectHead: +class TestDetectHand: def test_detect_hands(self): detections = detect_hands(get_testfile('genshin_post.jpg')) - assert len(detections) >= 4 + assert len(detections) >= 2 diff --git a/test/detect/test_head.py b/test/detect/test_head.py index 1006f5f015..6c7557f271 100644 --- a/test/detect/test_head.py +++ b/test/detect/test_head.py @@ -23,10 +23,10 @@ def test_detect_heads(self): assert detection_similarity( detections, [ - ((210, 161, 348, 288), 'head', 0.8935408592224121), - ((462, 250, 531, 328), 'head', 0.8133165836334229), - ((651, 439, 725, 514), 'head', 0.8114989995956421), - ((787, 0, 1124, 262), 'head', 0.780591607093811) + ((211, 162, 349, 287), 'head', 0.897052526473999), + ((938, 88, 1124, 260), 'head', 0.8672211170196533), + ((461, 251, 531, 325), 'head', 0.8515472412109375), + ((652, 440, 727, 513), 'head', 0.8476731181144714), ] ) >= 0.9 @@ -43,9 +43,10 @@ def test_detect_heads_not_found(self): def test_detect_with_yolov10(self, model_name: str): detections = detect_heads(get_testfile('genshin_post.jpg'), model_name=model_name) similarity = detection_similarity(detections, [ - ((202, 156, 356, 293), 'head', 0.876), - ((936, 86, 1134, 267), 'head', 0.834), - ((650, 444, 720, 518), 'head', 0.778), + ((211, 161, 350, 288), 'head', 0.9167004823684692), + ((938, 87, 1122, 261), 'head', 0.9030089378356934), + ((463, 249, 532, 327), 'head', 0.8779274225234985), + ((653, 444, 722, 512), 'head', 0.8771967887878418) ]) assert similarity >= 0.85 @@ -57,7 +58,10 @@ def test_detect_with_rtdetr(self, model_name: str): # so this expected result is 100% bullshit # just make sure the rtdetr models can be properly inferred detections = detect_heads(get_testfile('genshin_post.jpg'), model_name=model_name) - assert detections == [] - # similarity = detection_similarity(detections, [ - # ]) - # assert similarity >= 0.85 + similarity = detection_similarity(detections, [ + ((210, 160, 351, 286), 'head', 0.9095626473426819), + ((937, 87, 1123, 260), 'head', 0.8920016288757324), + ((461, 248, 536, 326), 'head', 0.8442408442497253), + ((651, 439, 728, 514), 'head', 0.841901421546936) + ]) + assert similarity >= 0.85 diff --git a/test/detect/test_person.py b/test/detect/test_person.py index 804db0ddd5..98c7d0be88 100644 --- a/test/detect/test_person.py +++ b/test/detect/test_person.py @@ -1,5 +1,6 @@ import pytest +from imgutils.detect import detection_similarity from imgutils.detect.person import detect_person from imgutils.generic.yolo import _open_models_for_repo_id from test.testings import get_testfile @@ -18,19 +19,13 @@ class TestDetectPerson: def test_detect_person(self): detections = detect_person(get_testfile('genshin_post.jpg')) - assert len(detections) == 4 - - values = [] - for bbox, label, score in detections: - assert label == 'person' - values.append((bbox, int(score * 1000) / 1000)) - - assert values == pytest.approx([ - ((715, 8, 1268, 720), 0.861), - ((57, 140, 407, 720), 0.856), - ((614, 417, 802, 680), 0.802), - ((373, 234, 561, 657), 0.782) + similarity = detection_similarity(detections, [ + ((35, 143, 398, 720), 'person', 0.8631670475006104), + ((690, 1, 1262, 712), 'person', 0.845992922782898), + ((373, 236, 561, 638), 'person', 0.7979342937469482), + ((607, 418, 804, 680), 'person', 0.7805007696151733) ]) + assert similarity >= 0.85 def test_detect_person_none(self): assert detect_person(get_testfile('png_full.png'), conf_threshold=0.5) == [] From c2c347603a32d692fadc88d3279804583980603f Mon Sep 17 00:00:00 2001 From: narugo1992 Date: Sun, 8 Dec 2024 23:29:40 +0800 Subject: [PATCH 3/7] dev(narugo): fix the dwpose unittest --- test/pose/test_format.py | 36 ++++++++++++------------ test/testfile/pose/2girls_pose_0.npy | Bin 3344 -> 3344 bytes test/testfile/pose/2girls_pose_1.npy | Bin 3344 -> 3344 bytes test/testfile/pose/2girls_visual.png | Bin 328137 -> 327783 bytes test/testfile/pose/tohsaka_rin_pose.npy | Bin 3344 -> 3344 bytes 5 files changed, 18 insertions(+), 18 deletions(-) diff --git a/test/pose/test_format.py b/test/pose/test_format.py index 9ed484384c..864551710a 100644 --- a/test/pose/test_format.py +++ b/test/pose/test_format.py @@ -16,32 +16,32 @@ def _get_xy_range(data): class TestPoseFormat: def test_pose18_points(self, demo_pose18): assert _get_xy_range(demo_pose18.face) == \ - pytest.approx((463.900390625, 578.451171875, 169.853515625, 276.93359375)) + pytest.approx((465.76692708333326, 582.9609375, 171.5625, 276.2890625)) assert _get_xy_range(demo_pose18.body) == \ - pytest.approx((321.95703125, 802.572265625, 184.794921875, 1365.166015625)) + pytest.approx((321.14453125, 804.8815104166667, 186.5234375, 1368.4375)) assert _get_xy_range(demo_pose18.left_hand) == \ - pytest.approx((807.552734375, 872.298828125, 715.21484375, 777.470703125)) + pytest.approx((809.8684895833335, 879.6861979166665, 717.63671875, 772.4934895833335)) assert _get_xy_range(demo_pose18.right_hand) == \ - pytest.approx((252.23046875, 316.9765625, 725.17578125, 787.431640625)) + pytest.approx((253.8203125, 316.1575520833335, 725.1171875, 787.4544270833335)) assert _get_xy_range(demo_pose18.left_foot) == \ - pytest.approx((697.982421875, 742.806640625, 1320.341796875, 1419.951171875)) + pytest.approx((697.6614583333335, 742.5442708333335, 1323.5546875, 1420.80078125)) assert _get_xy_range(demo_pose18.right_foot) == \ - pytest.approx((453.939453125, 501.25390625, 1390.068359375, 1482.20703125)) + pytest.approx((453.2994791666665, 500.67578125, 1395.8658854166665, 1483.1380208333335)) def test_pose18_mul(self, demo_pose18): pose = demo_pose18 * 1.2 assert _get_xy_range(pose.face) == \ - pytest.approx((556.6804687499999, 694.1414062499999, 203.82421875, 332.3203125)) + pytest.approx((558.9203124999999, 699.553125, 205.875, 331.546875)) assert _get_xy_range(pose.body) == \ - pytest.approx((386.3484375, 963.0867187499999, 221.75390625, 1638.19921875)) + pytest.approx((385.37343749999997, 965.8578125, 223.828125, 1642.125)) assert _get_xy_range(pose.left_hand) == \ - pytest.approx((969.0632812499999, 1046.75859375, 858.2578125, 932.96484375)) + pytest.approx((971.8421875000001, 1055.6234374999997, 861.1640625, 926.9921875000001)) assert _get_xy_range(pose.right_hand) == \ - pytest.approx((302.6765625, 380.371875, 870.2109375, 944.91796875)) + pytest.approx((304.58437499999997, 379.3890625000002, 870.140625, 944.9453125000001)) assert _get_xy_range(pose.left_foot) == \ - pytest.approx((837.5789062499999, 891.3679687499999, 1584.41015625, 1703.94140625)) + pytest.approx((837.1937500000001, 891.0531250000001, 1588.265625, 1704.9609375)) assert _get_xy_range(pose.right_foot) == \ - pytest.approx((544.7273437499999, 601.5046874999999, 1668.08203125, 1778.6484375)) + pytest.approx((543.9593749999998, 600.8109375, 1675.0390624999998, 1779.7656250000002)) with pytest.raises(TypeError): _ = demo_pose18 * 'st' @@ -49,17 +49,17 @@ def test_pose18_mul(self, demo_pose18): def test_pose18_div(self, demo_pose18): pose = demo_pose18 / 1.2 assert _get_xy_range(pose.face) == \ - pytest.approx((386.5836588541667, 482.0426432291667, 141.54459635416669, 230.77799479166669)) + pytest.approx((388.1391059027777, 485.80078125, 142.96875, 230.24088541666669)) assert _get_xy_range(pose.body) == \ - pytest.approx((268.2975260416667, 668.8102213541667, 153.99576822916669, 1137.6383463541667)) + pytest.approx((267.62044270833337, 670.734592013889, 155.43619791666669, 1140.3645833333335)) assert _get_xy_range(pose.left_hand) == \ - pytest.approx((672.9606119791667, 726.9156901041667, 596.0123697916667, 647.8922526041667)) + pytest.approx((674.8904079861113, 733.0718315972222, 598.0305989583334, 643.7445746527779)) assert _get_xy_range(pose.right_hand) == \ - pytest.approx((210.19205729166669, 264.1471354166667, 604.3131510416667, 656.1930338541667)) + pytest.approx((211.51692708333334, 263.46462673611126, 604.2643229166667, 656.2120225694446)) assert _get_xy_range(pose.left_foot) == \ - pytest.approx((581.6520182291667, 619.0055338541667, 1100.2848307291667, 1183.2926432291667)) + pytest.approx((581.3845486111113, 618.7868923611113, 1102.9622395833335, 1184.0006510416667)) assert _get_xy_range(pose.right_foot) == \ - pytest.approx((378.2828776041667, 417.7115885416667, 1158.3902994791667, 1235.1725260416667)) + pytest.approx((377.7495659722221, 417.22981770833337, 1163.2215711805554, 1235.9483506944446)) with pytest.raises(TypeError): _ = demo_pose18 / 'st' diff --git a/test/testfile/pose/2girls_pose_0.npy b/test/testfile/pose/2girls_pose_0.npy index fad4c6c0dcb1fe03063743a4137f94c641820806..a6ff1d2173f943b108c3321cdb6f3c8b8edaf254 100644 GIT binary patch literal 3344 zcmbVOZBP|u6n>jZ#hDVUW=cfY6j9UyQKp>ouAf;WR@NoaA6y153J563<>QKOmRhC) zYNJ^*t;RG+Rw_zO>9|@rm`?Gbh*yXeQn)CSW+pZg?R%cX$94ME{o&3&K0N1~=bZQK zyM2K@>a~~$giE+X5}cXw86ne@kQWl43z?{dB&KJq%7{ygP0vVhN_=kI@=T|NXD*9d z;k4ezg-1-8s6>pPsN^gE^EX(?->4jQk=^73KfAFvAJVgJ zkhu2hnX|wTu2Ko#yF7hkJ;*0`EpQk3UB@p#XG<3H@erX$Aj- z%>Ho=|I^Y)Af!awva$5#j2v%y#%Ng!|Y*xEXkt^{?fE-wiyd&I|p$ 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