YOLO11 分类

前言

YOLO11 CLS物体分类支持1000种物体识别。分类（yolo11 cls）与检测（yolo11 det）区别是指返回物体名称，不返回物体位置坐标。

实验目的

编程实现物体分类识别并将识别结果画图指示。

实验讲解

基于CyberCAM K230 yolo11分类模型已经预先训练好，存放在代码同一目录下，我们只需要加载模型文件，使用kpu库进行推理，并将返回的结果画图并显示即可。

例程基于YOLO11, 支持识别1000种物体。

具体编程思路如下：

参考代码

'''
实验名称：物体分类（基于YOLO11）
实验平台：CyberCAM
说明：YOLO11-cls
'''

import cv2, time, os
from walnutpi import kpu,Display,Sensor,IDE,direction

# 优先当前文件夹下相对路径（app离线部署）
if os.path.exists("./yolo11n-cls-224.kmodel"):
    model_path = "./yolo11n-cls-224.kmodel"

# 使用系统绝对路径（IDE运行调试）
elif os.path.exists("/data/app/yolo11-cls/yolo11n-cls-224.kmodel"):
    model_path = "/data/app/yolo11-cls/yolo11n-cls-224.kmodel"

else:
    raise FileNotFoundError("模型文件缺失，请检查当前路径与系统路径下的模型文件是否存在。")

model_size = 224 #模型尺寸
yolo = kpu.YOLO11_CLS(model_path, model_size) # 加载模型 

# 1000种物体
labels = ["tench","goldfish","great white shark","tiger shark","hammerhead shark","electric ray","stingray","cock","hen","ostrich","brambling","goldfinch","house finch","junco","indigo bunting","American robin","bulbul","jay","magpie","chickadee","American dipper","kite","bald eagle","vulture","great grey owl","fire salamander","smooth newt","newt","spotted salamander","axolotl","American bullfrog","tree frog","tailed frog","loggerhead sea turtle","leatherback sea turtle","mud turtle","terrapin","box turtle","banded gecko","green iguana","Carolina anole","desert grassland whiptail lizard","agama","frilled-necked lizard","alligator lizard","Gila monster","European green lizard","chameleon","Komodo dragon","Nile crocodile","American alligator","triceratops","worm snake","ring-necked snake","eastern hog-nosed snake","smooth green snake","kingsnake","garter snake","water snake","vine snake","night snake","boa constrictor","African rock python","Indian cobra","green mamba","sea snake","Saharan horned viper","eastern diamondback rattlesnake","sidewinder","trilobite","harvestman","scorpion","yellow garden spider","barn spider","European garden spider","southern black widow","tarantula","wolf spider","tick","centipede","black grouse","ptarmigan","ruffed grouse","prairie grouse","peacock","quail","partridge","grey parrot","macaw","sulphur-crested cockatoo","lorikeet","coucal","bee eater","hornbill","hummingbird","jacamar","toucan","duck","red-breasted merganser","goose","black swan","tusker","echidna","platypus","wallaby","koala","wombat","jellyfish","sea anemone","brain coral","flatworm","nematode","conch","snail","slug","sea slug","chiton","chambered nautilus","Dungeness crab","rock crab","fiddler crab","red king crab","American lobster","spiny lobster","crayfish","hermit crab","isopod","white stork","black stork","spoonbill","flamingo","little blue heron","great egret","bittern","crane (bird)","limpkin","common gallinule","American coot","bustard","ruddy turnstone","dunlin","common redshank","dowitcher","oystercatcher","pelican","king penguin","albatross","grey whale","killer whale","dugong","sea lion","Chihuahua","Japanese Chin","Maltese","Pekingese","Shih Tzu","King Charles Spaniel","Papillon","toy terrier","Rhodesian Ridgeback","Afghan Hound","Basset Hound","Beagle","Bloodhound","Bluetick Coonhound","Black and Tan Coonhound","Treeing Walker Coonhound","English foxhound","Redbone Coonhound","borzoi","Irish Wolfhound","Italian Greyhound","Whippet","Ibizan Hound","Norwegian Elkhound","Otterhound","Saluki","Scottish Deerhound","Weimaraner","Staffordshire Bull Terrier","American Staffordshire Terrier","Bedlington Terrier","Border Terrier","Kerry Blue Terrier","Irish Terrier","Norfolk Terrier","Norwich Terrier","Yorkshire Terrier","Wire Fox Terrier","Lakeland Terrier","Sealyham Terrier","Airedale Terrier","Cairn Terrier","Australian Terrier","Dandie Dinmont Terrier","Boston Terrier","Miniature Schnauzer","Giant Schnauzer","Standard Schnauzer","Scottish Terrier","Tibetan Terrier","Australian Silky Terrier","Soft-coated Wheaten Terrier","West Highland White Terrier","Lhasa Apso","Flat-Coated Retriever","Curly-coated Retriever","Golden Retriever","Labrador Retriever","Chesapeake Bay Retriever","German Shorthaired Pointer","Vizsla","English Setter","Irish Setter","Gordon Setter","Brittany","Clumber Spaniel","English Springer Spaniel","Welsh Springer Spaniel","Cocker Spaniels","Sussex Spaniel","Irish Water Spaniel","Kuvasz","Schipperke","Groenendael","Malinois","Briard","Australian Kelpie","Komondor","Old English Sheepdog","Shetland Sheepdog","collie","Border Collie","Bouvier des Flandres","Rottweiler","German Shepherd Dog","Dobermann","Miniature Pinscher","Greater Swiss Mountain Dog","Bernese Mountain Dog","Appenzeller Sennenhund","Entlebucher Sennenhund","Boxer","Bullmastiff","Tibetan Mastiff","French Bulldog","Great Dane","St. Bernard","husky","Alaskan Malamute","Siberian Husky","Dalmatian","Affenpinscher","Basenji","pug","Leonberger","Newfoundland","Pyrenean Mountain Dog","Samoyed","Pomeranian","Chow Chow","Keeshond","Griffon Bruxellois","Pembroke Welsh Corgi","Cardigan Welsh Corgi","Toy Poodle","Miniature Poodle","Standard Poodle","Mexican hairless dog","grey wolf","Alaskan tundra wolf","red wolf","coyote","dingo","dhole","African wild dog","hyena","red fox","kit fox","Arctic fox","grey fox","tabby cat","tiger cat","Persian cat","Siamese cat","Egyptian Mau","cougar","lynx","leopard","snow leopard","jaguar","lion","tiger","cheetah","brown bear","American black bear","polar bear","sloth bear","mongoose","meerkat","tiger beetle","ladybug","ground beetle","longhorn beetle","leaf beetle","dung beetle","rhinoceros beetle","weevil","fly","bee","ant","grasshopper","cricket","stick insect","cockroach","mantis","cicada","leafhopper","lacewing","dragonfly","damselfly","red admiral","ringlet","monarch butterfly","small white","sulphur butterfly","gossamer-winged butterfly","starfish","sea urchin","sea cucumber","cottontail rabbit","hare","Angora rabbit","hamster","porcupine","fox squirrel","marmot","beaver","guinea pig","common sorrel","zebra","pig","wild boar","warthog","hippopotamus","ox","water buffalo","bison","ram","bighorn sheep","Alpine ibex","hartebeest","impala","gazelle","dromedary","llama","weasel","mink","European polecat","black-footed ferret","otter","skunk","badger","armadillo","three-toed sloth","orangutan","gorilla","chimpanzee","gibbon","siamang","guenon","patas monkey","baboon","macaque","langur","black-and-white colobus","proboscis monkey","marmoset","white-headed capuchin","howler monkey","titi","Geoffroy's spider monkey","common squirrel monkey","ring-tailed lemur","indri","Asian elephant","African bush elephant","red panda","giant panda","snoek","eel","coho salmon","rock beauty","clownfish","sturgeon","garfish","lionfish","pufferfish","abacus","abaya","academic gown","accordion","acoustic guitar","aircraft carrier","airliner","airship","altar","ambulance","amphibious vehicle","analog clock","apiary","apron","waste container","assault rifle","backpack","bakery","balance beam","balloon","ballpoint pen","Band-Aid","banjo","baluster","barbell","barber chair","barbershop","barn","barometer","barrel","wheelbarrow","baseball","basketball","bassinet","bassoon","swimming cap","bath towel","bathtub","station wagon","lighthouse","beaker","military cap","beer bottle","beer glass","bell-cot","bib","tandem bicycle","bikini","ring binder","binoculars","birdhouse","boathouse","bobsleigh","bolo tie","poke bonnet","bookcase","bookstore","bottle cap","bow","bow tie","brass","bra","breakwater","breastplate","broom","bucket","buckle","bulletproof vest","high-speed train","butcher shop","taxicab","cauldron","candle","cannon","canoe","can opener","cardigan","car mirror","carousel","tool kit","carton","car wheel","automated teller machine","cassette","cassette player","castle","catamaran","CD player","cello","mobile phone","chain","chain-link fence","chain mail","chainsaw","chest","chiffonier","chime","china cabinet","Christmas stocking","church","movie theater","cleaver","cliff dwelling","cloak","clogs","cocktail shaker","coffee mug","coffeemaker","coil","combination lock","computer keyboard","confectionery store","container ship","convertible","corkscrew","cornet","cowboy boot","cowboy hat","cradle","crane (machine)","crash helmet","crate","infant bed","Crock Pot","croquet ball","crutch","cuirass","dam","desk","desktop computer","rotary dial telephone","diaper","digital clock","digital watch","dining table","dishcloth","dishwasher","disc brake","dock","dog sled","dome","doormat","drilling rig","drum","drumstick","dumbbell","Dutch oven","electric fan","electric guitar","electric locomotive","entertainment center","envelope","espresso machine","face powder","feather boa","filing cabinet","fireboat","fire engine","fire screen sheet","flagpole","flute","folding chair","football helmet","forklift","fountain","fountain pen","four-poster bed","freight car","French horn","frying pan","fur coat","garbage truck","gas mask","gas pump","goblet","go-kart","golf ball","golf cart","gondola","gong","gown","grand piano","greenhouse","grille","grocery store","guillotine","barrette","hair spray","half-track","hammer","hamper","hair dryer","hand-held computer","handkerchief","hard disk drive","harmonica","harp","harvester","hatchet","holster","home theater","honeycomb","hook","hoop skirt","horizontal bar","horse-drawn vehicle","hourglass","iPod","clothes iron","jack-o'-lantern","jeans","jeep","T-shirt","jigsaw puzzle","pulled rickshaw","joystick","kimono","knee pad","knot","lab coat","ladle","lampshade","laptop computer","lawn mower","lens cap","paper knife","library","lifeboat","lighter","limousine","ocean liner","lipstick","slip-on shoe","lotion","speaker","loupe","sawmill","magnetic compass","mail bag","mailbox","tights","tank suit","manhole cover","maraca","marimba","mask","match","maypole","maze","measuring cup","medicine chest","megalith","microphone","microwave oven","military uniform","milk can","minibus","miniskirt","minivan","missile","mitten","mixing bowl","mobile home","Model T","modem","monastery","monitor","moped","mortar","square academic cap","mosque","mosquito net","scooter","mountain bike","tent","computer mouse","mousetrap","moving van","muzzle","nail","neck brace","necklace","nipple","notebook computer","obelisk","oboe","ocarina","odometer","oil filter","organ","oscilloscope","overskirt","bullock cart","oxygen mask","packet","paddle","paddle wheel","padlock","paintbrush","pajamas","palace","pan flute","paper towel","parachute","parallel bars","park bench","parking meter","passenger car","patio","payphone","pedestal","pencil case","pencil sharpener","perfume","Petri dish","photocopier","plectrum","Pickelhaube","picket fence","pickup truck","pier","piggy bank","pill bottle","pillow","ping-pong ball","pinwheel","pirate ship","pitcher","hand plane","planetarium","plastic bag","plate rack","plow","plunger","Polaroid camera","pole","police van","poncho","billiard table","soda bottle","pot","potter's wheel","power drill","prayer rug","printer","prison","projectile","projector","hockey puck","punching bag","purse","quill","quilt","race car","racket","radiator","radio","radio telescope","rain barrel","recreational vehicle","reel","reflex camera","refrigerator","remote control","restaurant","revolver","rifle","rocking chair","rotisserie","eraser","rugby ball","ruler","running shoe","safe","safety pin","salt shaker","sandal","sarong","saxophone","scabbard","weighing scale","school bus","schooner","scoreboard","CRT screen","screw","screwdriver","seat belt","sewing machine","shield","shoe store","shoji","shopping basket","shopping cart","shovel","shower cap","shower curtain","ski","ski mask","sleeping bag","slide rule","sliding door","slot machine","snorkel","snowmobile","snowplow","soap dispenser","soccer ball","sock","solar thermal collector","sombrero","soup bowl","space bar","space heater","space shuttle","spatula","motorboat","spider web","spindle","sports car","spotlight","stage","steam locomotive","through arch bridge","steel drum","stethoscope","scarf","stone wall","stopwatch","stove","strainer","tram","stretcher","couch","stupa","submarine","suit","sundial","sunglass","sunglasses","sunscreen","suspension bridge","mop","sweatshirt","swimsuit","swing","switch","syringe","table lamp","tank","tape player","teapot","teddy bear","television","tennis ball","thatched roof","front curtain","thimble","threshing machine","throne","tile roof","toaster","tobacco shop","toilet seat","torch","totem pole","tow truck","toy store","tractor","semi-trailer truck","tray","trench coat","tricycle","trimaran","tripod","triumphal arch","trolleybus","trombone","tub","turnstile","typewriter keyboard","umbrella","unicycle","upright piano","vacuum cleaner","vase","vault","velvet","vending machine","vestment","viaduct","violin","volleyball","waffle iron","wall clock","wallet","wardrobe","military aircraft","sink","washing machine","water bottle","water jug","water tower","whiskey jug","whistle","wig","window screen","window shade","Windsor tie","wine bottle","wing","wok","wooden spoon","wool","split-rail fence","shipwreck","yawl","yurt","website","comic book","crossword","traffic sign","traffic light","dust jacket","menu","plate","guacamole","consomme","hot pot","trifle","ice cream","ice pop","baguette","bagel","pretzel","cheeseburger","hot dog","mashed potato","cabbage","broccoli","cauliflower","zucchini","spaghetti squash","acorn squash","butternut squash","cucumber","artichoke","bell pepper","cardoon","mushroom","Granny Smith","strawberry","orange","lemon","fig","pineapple","banana","jackfruit","custard apple","pomegranate","hay","carbonara","chocolate syrup","dough","meatloaf","pizza","pot pie","burrito","red wine","espresso","cup","eggnog","alp","bubble","cliff","coral reef","geyser","lakeshore","promontory","shoal","seashore","valley","volcano","baseball player","bridegroom","scuba diver","rapeseed","daisy","yellow lady's slipper","corn","acorn","rose hip","horse chestnut seed","coral fungus","agaric","gyromitra","stinkhorn mushroom","earth star","hen-of-the-woods","bolete","ear","toilet paper",]

# 初始化屏幕
Display.init()

# 初始化摄像头
cap = Sensor.Sensor(640, 480)
if not cap.isOpened():
    print("Cannot open camera")
    exit()

#获取当前显示屏方向，0表示默认，2表示180度翻转。
lcd_dir=direction.get_lcd() 
#print(lcd_dir) 

# 判断显示屏是否翻转，如果翻转，则设置显示旋转180°，摄像头同时设置为前置模式（水平镜像）
if lcd_dir == 2: #翻转了
    Display.set_rotation(2)
    cap.set_hmirror(1)

# ========== FPS计算 ==========
frame_count = 0       # 帧数计数器
start_time = time.time()
fps = 0.0

while True:

    # 读取一帧图像
    ret, img = cap.read()

    # 阻塞式执行目标检测，设置置信度阈值为 0.5，IoU 阈值为 0.45
    result=yolo.run(img, 0.5, 0.45)

    # 将概率最高的类别绘制在图像上
    if result is not None:
        top1 = result.top5[0]
        show_string = "{:.2f} {:s}".format(
            top1.reliability,
            labels[top1.label],
        )

        cv2.putText(
            img,
            show_string,
            (10, 30),
            cv2.FONT_HERSHEY_SIMPLEX,
            1,
            (0, 0, 200),
            2,
        )

    # 每满1秒计算一次平均FPS
    frame_count += 1    
    current_time = time.time()
    if current_time - start_time >= 1.0:
        fps = frame_count / (current_time - start_time)
        frame_count = 0              # 重置帧数计数器
        start_time = current_time    # 重置计时起点
        print("FPS: ", f'FPS: {fps:.1f}')

    Display.show(img) #显示到屏幕上
    IDE.show(img) # 发送到ide窗口内显示

实验结果

运行代码，将摄像头正对下方图像。可看到检测结果。

原图：

识别结果：