From 30bd8651b6cabf8c65b66035721202571182d321 Mon Sep 17 00:00:00 2001 From: Igor Maurell Date: Mon, 2 Oct 2023 02:12:26 -0300 Subject: [PATCH 1/3] adding max_sizes to yolov8 --- .../image2world/image2world.py | 11 +- .../config/yolov8_object_recognition.yaml | 162 +++++++++--------- .../yolov8_object_recognition_custom.yaml | 48 ++++++ .../yolov8_recognition/yolov8_recognition.py | 26 ++- butia_recognition/weigths/tmpoxfg42bv | Bin 7659520 -> 0 bytes 5 files changed, 157 insertions(+), 90 deletions(-) create mode 100644 butia_recognition/config/yolov8_object_recognition_custom.yaml delete mode 100644 butia_recognition/weigths/tmpoxfg42bv diff --git a/butia_image2world/scripts/butia_image2world/image2world/image2world.py b/butia_image2world/scripts/butia_image2world/image2world/image2world.py index c194a2e..911edf8 100755 --- a/butia_image2world/scripts/butia_image2world/image2world/image2world.py +++ b/butia_image2world/scripts/butia_image2world/image2world/image2world.py @@ -123,7 +123,6 @@ def __mountLutTable(self, camera_info): def __detectionDescriptionProcessing(self, data, description2d, header): center_x, center_y = description2d.bbox.center.x, description2d.bbox.center.y bbox_size_x, bbox_size_y = description2d.bbox.size_x, description2d.bbox.size_y - print(bbox_size_x, bbox_size_y) if bbox_size_x == 0 or bbox_size_y == 0: rospy.logwarn('BBox with zero size.') return None @@ -280,7 +279,14 @@ def __detectionDescriptionProcessing(self, data, description2d, header): box_points = box_points[np.logical_and(np.all(box_points > min_bound, axis=1), np.all(box_points < max_bound, axis=1))] - box = o3d.geometry.AxisAlignedBoundingBox().create_from_points(o3d.utility.Vector3dVector(box_points)) + box_pcd = o3d.geometry.PointCloud() + box_pcd.points = o3d.utility.Vector3dVector(box_points) + + box_pcd, _ = box_pcd.remove_statistical_outlier(20, 2.0) + + # TODO: add a clustering algorithm and pick the closest cluster + + box = o3d.geometry.AxisAlignedBoundingBox().create_from_points(box_pcd.points) else: box = o3d.geometry.AxisAlignedBoundingBox(min_bound, max_bound) @@ -354,7 +360,6 @@ def __createDescription3D(self, source_data, description2d : Description2D, head description3D : Description3D = self.DESCRIPTION_PROCESSING_ALGORITHMS[description2d.type](source_data, description2d, header) description3D.bbox2D = description2d.bbox description3D.class_num = description2d.class_num - print(description3D.class_num) return description3D else: return None diff --git a/butia_recognition/config/yolov8_object_recognition.yaml b/butia_recognition/config/yolov8_object_recognition.yaml index eb9a153..67ff2ab 100644 --- a/butia_recognition/config/yolov8_object_recognition.yaml +++ b/butia_recognition/config/yolov8_object_recognition.yaml @@ -10,90 +10,90 @@ classes_by_category: Animals: ['bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'teddybear'] Household: ['backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'vase', 'scissors', 'book', 'toothbrush'] all_classes: -- 'person' -- 'bicycle' -- 'car' -- 'motorcycle' -- 'airplane' -- 'bus' -- 'train' -- 'truck' -- 'boat' -- 'traffic light' -- 'fire hydrant' -- 'stop sign' -- 'parking meter' -- 'bench' -- 'bird' -- 'cat' -- 'dog' -- 'horse' -- 'sheep' -- 'cow' -- 'elephant' -- 'bear' -- 'zebra' -- 'giraffe' -- 'backpack' -- 'umbrella' -- 'handbag' -- 'tie' -- 'suitcase' -- 'frisbee' -- 'skis' -- 'snowboard' -- 'sports ball' -- 'kite' -- 'baseball bat' -- 'baseball glove' -- 'skateboard' -- 'surfboard' -- 'tennis racket' -- 'bottle' -- 'wine glass' -- 'cup' -- 'fork' -- 'knife' -- 'spoon' -- 'bowl' -- 'banana' -- 'apple' -- 'sandwich' -- 'orange' -- 'broccoli' -- 'carrot' -- 'hot dog' -- 'pizza' -- 'donut' -- 'cake' -- 'chair' -- 'couch' -- 'potted plant' -- 'bed' -- 'dining table' -- 'toilet' -- 'tv' -- 'laptop' -- 'mouse' -- 'remote' -- 'keyboard' -- 'cell phone' -- 'microwave' -- 'oven' -- 'toaster' -- 'sink' -- 'refrigerator' -- 'book' -- 'clock' -- 'vase' -- 'scissors' -- 'teddy bear' -- 'hair drier' -- 'toothbrush' + - 'person' + - 'bicycle' + - 'car' + - 'motorcycle' + - 'airplane' + - 'bus' + - 'train' + - 'truck' + - 'boat' + - 'traffic light' + - 'fire hydrant' + - 'stop sign' + - 'parking meter' + - 'bench' + - 'bird' + - 'cat' + - 'dog' + - 'horse' + - 'sheep' + - 'cow' + - 'elephant' + - 'bear' + - 'zebra' + - 'giraffe' + - 'backpack' + - 'umbrella' + - 'handbag' + - 'tie' + - 'suitcase' + - 'frisbee' + - 'skis' + - 'snowboard' + - 'sports ball' + - 'kite' + - 'baseball bat' + - 'baseball glove' + - 'skateboard' + - 'surfboard' + - 'tennis racket' + - 'bottle' + - 'wine glass' + - 'cup' + - 'fork' + - 'knife' + - 'spoon' + - 'bowl' + - 'banana' + - 'apple' + - 'sandwich' + - 'orange' + - 'broccoli' + - 'carrot' + - 'hot dog' + - 'pizza' + - 'donut' + - 'cake' + - 'chair' + - 'couch' + - 'potted plant' + - 'bed' + - 'dining table' + - 'toilet' + - 'tv' + - 'laptop' + - 'mouse' + - 'remote' + - 'keyboard' + - 'cell phone' + - 'microwave' + - 'oven' + - 'toaster' + - 'sink' + - 'refrigerator' + - 'book' + - 'clock' + - 'vase' + - 'scissors' + - 'teddy bear' + - 'hair drier' + - 'toothbrush' max_sizes: - - [0.4, 2.5, 0.5] + - [0.05, 0.05, 0.05] model_file: yolov8n.pt diff --git a/butia_recognition/config/yolov8_object_recognition_custom.yaml b/butia_recognition/config/yolov8_object_recognition_custom.yaml new file mode 100644 index 0000000..0e23bff --- /dev/null +++ b/butia_recognition/config/yolov8_object_recognition_custom.yaml @@ -0,0 +1,48 @@ +threshold: 0.3 +classes_by_category: + Food: ['pringles', 'flakes'] + Drink: ['guarana', 'tonic'] + Hygiene: ['cleaner'] + +all_classes: + - 'cleaner' + - 'flakes' + - 'guarana' + - 'pringles' + - 'tonic' + +max_sizes: + - [0.06, 0.255, 0.06] + - [0.08, 0.18, 0.14] + - [0.045, 0.15, 0.045] + - [0.07, 0.20, 0.07] + - [0.075, 0.125, 0.075] + +model_file: yolov8-itec.pt + +subscribers: + + queue_size: 1 + exact_time: false + slop: 0.2 + + image_rgb: /butia_vision/bvb/image_rgb + camera_info: /butia_vision/bvb/camera_info + image_depth: /butia_vision/bvb/image_depth + +publishers: + + object_recognition: + topic: /butia_vision/br/object_recognition + queue_size: 1 + +servers: + + list_classes: + service: /butia_vision/br/object_recognition/list_classes + + start: + service: /butia_vision/br/object_recognition/start + + stop: + service: /butia_vision/br/object_recognition/stop diff --git a/butia_recognition/scripts/butia_recognition/yolov8_recognition/yolov8_recognition.py b/butia_recognition/scripts/butia_recognition/yolov8_recognition/yolov8_recognition.py index 8af28e4..8d99a6b 100755 --- a/butia_recognition/scripts/butia_recognition/yolov8_recognition/yolov8_recognition.py +++ b/butia_recognition/scripts/butia_recognition/yolov8_recognition/yolov8_recognition.py @@ -13,7 +13,7 @@ from geometry_msgs.msg import Vector3 from butia_vision_msgs.msg import Description2D, Recognitions2D import torch - +import rospkg class YoloV8Recognition(BaseRecognition): def __init__(self, state=True): @@ -41,7 +41,7 @@ def serverStop(self, req): return super().serverStop(req) def loadModel(self): - self.model = YOLO("yolov8n.pt") + self.model = YOLO(self.model_file) self.model.conf = self.threshold print('Done loading model!') @@ -74,7 +74,7 @@ def callback(self, *args): description_header = img_rgb.header description_header.seq = 0 - results = self.model.predict(cv_img) + results = self.model.predict(cv_img, conf=self.threshold, imgsz=max(*cv_img.shape), verbose=False) debug_img = cv_img boxes_ = results[0].boxes.cpu().numpy() @@ -87,14 +87,14 @@ def callback(self, *args): continue label_class = self.all_classes[int(box.cls)] - + max_size = self.max_sizes[label_class] description = Description2D() description.header = copy(description_header) description.type = Description2D.DETECTION description.id = description.header.seq description.score = float(box.conf) - description.max_size = Vector3(*[0.05, 0.05, 0.05]) + description.max_size = Vector3(*max_size) size = int(xyxy_box[2] - xyxy_box[0]), int(xyxy_box[3] - xyxy_box[1]) description.bbox.center.x = int(xyxy_box[0]) + int(size[0]/2) description.bbox.center.y = int(xyxy_box[1]) + int(size[1]/2) @@ -145,7 +145,21 @@ def readParameters(self): self.all_classes = list(rospy.get_param("~all_classes", [])) self.classes_by_category = dict(rospy.get_param("~classes_by_category", {})) - self.model_file = rospy.get_param("~model_file", "yolov8_lab_objects.pt") + + r = rospkg.RosPack() + r.list() + self.model_file = r.get_path("butia_recognition") + "/weigths/" + rospy.get_param("~model_file", "yolov8n.pt") + + max_sizes = rospy.get_param("~max_sizes", [[0.05, 0.05, 0.05]]) + + if len(max_sizes) == 1: + max_sizes = [max_sizes[0] for _ in self.all_classes] + + if len(max_sizes) != len(self.all_classes): + rospy.logerr('Wrong definition of max_sizes in yaml of recognition node.') + assert False + + self.max_sizes = dict([(self.all_classes[i], max_sizes[i]) for i in range(len(max_sizes))]) super().readParameters() diff --git a/butia_recognition/weigths/tmpoxfg42bv b/butia_recognition/weigths/tmpoxfg42bv deleted file mode 100644 index e81636204dcae6f46addd60a323228f9eda2be87..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 7659520 zcmb512VfLc_x3|mh>BvtuGoVGNkW7LD$l#T0!&6{VoH??HC?eGu&8@D(N+`3_MYuwh{ z(UIvs%B?h`eNyxEOpm6{>9I9V-#2b;>KN44HYjfFnATA`y1k=$Bv&ZS^c;9_rdKwz zNZB~<8rE%XYi*m7S#;jG#h^FLY_!H1&2h7JWO_F>wNIbk+!VLAw{?{6WRse$dD8IK zrnofIXJC{mbsaQJ?3_HAYcJM9uPaHcgw|Xp)MtZ*Pm^z9SxH^r%x~R!F4kIM~&;t*2(SWI@X5EyA4+uw^C74!|c|$rGYy!r6aSV zTWzIrOQ%;W?Apq%d6jXiEwK4tJ+10iU2R-HuG$ed#?1|r5Kr&p>aKObxaGRE7KU2G zt+A$dczS!|q;w~R)z)&Wt*t{*v|2lINB*zl)>~J{5&6?Oy}2W^o->xU^k|CPt*M1M zLJdSht)I>kV5LbIXldmT1Aj9hA## z9AyT#=pdH2=zvwU^dHrtLr~eG7!PStFsoV=sp=NRq^3ol*S5&Dx)$yFCN0|AP0Pl0 zL(m3iHtU-He%DKfwYSYG&1{Zc-6EUWGPSEi{jP4MUEMmD85U)R`(53}@9MUNT^-?f 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zusv=a(r<)Waw}M~;{!BW_z!!K_%`&aIwP>cL`eIUSy;O^L47i`Xd*`{+t`AL`S0qs2_bm`+@ieL7C+nfK~%>L1(AfH_(&1DOqY z2f4v_7VTH(`#z)kn89EtcTxJyxGS8CtjTO+4)gdAME!is>)Jn}*NGFpL1q=aD>ic~ gcTSAznfd?-CjOwmjB|dX{>z9e&x5BW6-K4s0kXZD3jhEB From 29a6db5296a31bc7cf5a1dd9344ef395db6a7a91 Mon Sep 17 00:00:00 2001 From: Igor Maurell Date: Sun, 8 Oct 2023 01:44:22 -0300 Subject: [PATCH 2/3] adding config files for larc2023 --- .gitignore | 2 +- .../yolov8_object_recognition_custom.yaml | 39 ++++++++++++------- .../launch/yolov8_object_recognition.launch | 2 +- 3 files changed, 27 insertions(+), 16 deletions(-) diff --git a/.gitignore b/.gitignore index fbeb6b7..4f2135d 100644 --- a/.gitignore +++ b/.gitignore @@ -6,7 +6,7 @@ *.lua *.csv *.dat -*.pt *.caffemodel +*.pt *.pbtxt *.prototxt diff --git a/butia_recognition/config/yolov8_object_recognition_custom.yaml b/butia_recognition/config/yolov8_object_recognition_custom.yaml index 0e23bff..c6bfae3 100644 --- a/butia_recognition/config/yolov8_object_recognition_custom.yaml +++ b/butia_recognition/config/yolov8_object_recognition_custom.yaml @@ -1,24 +1,35 @@ threshold: 0.3 classes_by_category: - Food: ['pringles', 'flakes'] - Drink: ['guarana', 'tonic'] - Hygiene: ['cleaner'] + Drinks: ['nescau', 'kuat', 'cononut water', 'fanta'] + Cleaning supplies: ['detergent', 'sponge', 'cloth'] + Pantry items: ['gelatin', 'mustard', 'shoyo', 'sauce', 'tea'] + Fruits: ['apple', 'pear', 'tangerine'] + Snacks: ['treloso', 'chocolate', 'peanut'] all_classes: - - 'cleaner' - - 'flakes' - - 'guarana' - - 'pringles' - - 'tonic' + - 'apple' + - 'chocolate' + - 'cloth' + - 'cononut water' + - 'detergent' + - 'fanta' + - 'gelatin' + - 'kuat' + - 'mustard' + - 'nescau' + - 'peanut' + - 'pear' + - 'sauce' + - 'shoyo' + - 'sponge' + - 'tangerine' + - 'tea' + - 'treloso' max_sizes: - - [0.06, 0.255, 0.06] - - [0.08, 0.18, 0.14] - - [0.045, 0.15, 0.045] - - [0.07, 0.20, 0.07] - - [0.075, 0.125, 0.075] + - [0.05, 0.05, 0.05] -model_file: yolov8-itec.pt +model_file: yolov8-larc2023.pt subscribers: diff --git a/butia_recognition/launch/yolov8_object_recognition.launch b/butia_recognition/launch/yolov8_object_recognition.launch index 45ddd50..fdc0f7f 100644 --- a/butia_recognition/launch/yolov8_object_recognition.launch +++ b/butia_recognition/launch/yolov8_object_recognition.launch @@ -3,7 +3,7 @@ - + From d2e541019a9faa1f450342177b2cc0c6cdb01b09 Mon Sep 17 00:00:00 2001 From: Igor Maurell Date: Sun, 8 Oct 2023 15:03:10 -0300 Subject: [PATCH 3/3] fixing error in color encoding of yolov8 recognition --- .../yolov8_recognition/yolov8_recognition.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/butia_recognition/scripts/butia_recognition/yolov8_recognition/yolov8_recognition.py b/butia_recognition/scripts/butia_recognition/yolov8_recognition/yolov8_recognition.py index 8d99a6b..8198277 100755 --- a/butia_recognition/scripts/butia_recognition/yolov8_recognition/yolov8_recognition.py +++ b/butia_recognition/scripts/butia_recognition/yolov8_recognition/yolov8_recognition.py @@ -74,8 +74,7 @@ def callback(self, *args): description_header = img_rgb.header description_header.seq = 0 - results = self.model.predict(cv_img, conf=self.threshold, imgsz=max(*cv_img.shape), verbose=False) - debug_img = cv_img + results = self.model.predict(cv_img[:, :, ::-1], conf=self.threshold, verbose=True) boxes_ = results[0].boxes.cpu().numpy() if len(results[0].boxes): @@ -116,7 +115,7 @@ def callback(self, *args): description.label = index + '/' + label_class if index is not None else label_class objects_recognition.descriptions.append(description) - debug_img = results[0].plot() + debug_img = results[0].plot()[:, :, ::-1] description_header.seq += 1 self.debug_publisher.publish(ros_numpy.msgify(Image, debug_img, 'rgb8')) @@ -127,7 +126,7 @@ def callback(self, *args): if len(people_recognition.descriptions) > 0: self.people_detection_publisher.publish(people_recognition) else: - debug_img = results[0].plot() + debug_img = results[0].plot()[:, :, ::-1] self.debug_publisher.publish(ros_numpy.msgify(Image, debug_img, 'rgb8')) def readParameters(self):

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