【深度学习】yolov8n模型的剪枝操作记录

原始

剪枝微调后
可以看到模型大小了， 测试结果显示再cpu 上加速5%-10%

from ultralytics import YOLOimport time
# Load a pretrained YOLO11n model
count_num = 500
def test1():model = YOLO("/home/justin/Desktop/code/v8_prun/runs/detect/train3/weights/best.pt")# Define path to directory containing images and videos for inferencesource_img = "/home/data_for_ai_justin3/justin/JersyNumber/num_from_online_from_0822_to_0905/117.jpg"# # Run inference on the source# results = model(source, stream=True,device="cpu")  # generator of Results objectsstart_time = time.time()for i in range(count_num):model.predict(source_img, imgsz=320, conf=0.5,device="cpu")end_time = time.time()print("Time taken for inference:", (end_time - start_time)/count_num)return (end_time - start_time)/count_num
def test2():model = YOLO("/home/justin/Desktop/code/v8_prun/runs/detect/train4/weights/best.pt")# Define path to directory containing images and videos for inferencesource_img = "/home/data_for_ai_justin3/justin/JersyNumber/num_from_online_from_0822_to_0905/117.jpg"# # Run inference on the source# results = model(source, stream=True,device="cpu")  # generator of Results objectsstart_time = time.time()for i in range(count_num):model.predict(source_img, imgsz=320, conf=0.5,device="cpu")end_time = time.time()print("Time taken for inference:", (end_time - start_time)/count_num)return (end_time - start_time)/count_numif __name__ == '__main__':a1 = test1()a2 = test2()print("Speedup:", a1/a2,a1,a2)

测试代码
剪枝的ref:https://blog.csdn.net/Dneccc/article/details/134440603?utm_medium=distribute.pc_relevant.none-task-blog-2_defaultbaidujs_baidulandingword~default-5-134440603-blog-130155924.235^v43pc_blog_bottom_relevance_base2&spm=1001.2101.3001.4242.4&utm_relevant_index=8