72 lines
1.9 KiB
Python
72 lines
1.9 KiB
Python
import os
|
|
|
|
import folder_paths
|
|
from torchvision import transforms
|
|
from ultralytics import YOLO
|
|
|
|
model_path = folder_paths.models_dir
|
|
folder_paths.add_model_folder_path("ultralytics_classifiers", os.path.join(model_path, "ultralytics", "classifiers"))
|
|
|
|
|
|
class YOLOClassifierModelLoader:
|
|
# Download these models from https://docs.ultralytics.com/tasks/classify/
|
|
# Place them on models/ultralytics/classification folder
|
|
model_names = (
|
|
'yolov8n-cls.pt',
|
|
'yolov8s-cls.pt',
|
|
'yolov8m-cls.pt',
|
|
'yolov8l-cls.pt',
|
|
'yolov8x-cls.pt'
|
|
)
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(cls):
|
|
return {
|
|
"required": {
|
|
"model_name": (cls.model_names,)
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES = ("YOLO_CLASSIFIER_MODEL",)
|
|
RETURN_NAMES = ("YOLO classifier model",)
|
|
FUNCTION = "load_model"
|
|
CATEGORY = "SuperMasterBlasterLaser/ComfyUI_YOLO_Classifiers"
|
|
|
|
def load_model(self, model_name):
|
|
model_path = folder_paths.get_full_path("ultralytics_classifiers", model_name)
|
|
|
|
model = YOLO(model_path)
|
|
return (model,)
|
|
|
|
|
|
class YOLOClassify:
|
|
@classmethod
|
|
def INPUT_TYPES(cls):
|
|
return {
|
|
"required": {
|
|
"yolo_classifier_model": ("YOLO_CLASSIFIER_MODEL",),
|
|
"image_to_classify": ("IMAGE",)
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES = ("STRING",)
|
|
RETURN_NAMES = ("Class name with highest score",)
|
|
FUNCTION = "classify"
|
|
CATEGORY = "SuperMasterBlasterLaser/ComfyUI_YOLO_Classifiers"
|
|
|
|
def classify(self, yolo_classifier_model, image_to_classify):
|
|
transform = transforms.Compose([
|
|
transforms.ToPILImage(mode='LA')
|
|
])
|
|
|
|
img = transform(image_to_classify).unsqueeze(0)
|
|
result = yolo_classifier_model(img)
|
|
|
|
class_name = None
|
|
for r in result:
|
|
top1 = r.probs.top1
|
|
class_name = r.names[top1]
|
|
break
|
|
|
|
return (class_name,)
|