1.本项目需要用到CocoBlocky进行编辑，使用CocoMod电子模块(显示屏，摄像头等)。
2.支持识别4种情绪：快乐(happy)，伤心(sad)，愤怒(angry)，平静(peace)。
源码：
from maix import camera
from maix import displayfrom maix import imagefrom maix import nn
from maix.nn import decodercamera.camera.config(size=(240,320))ScreenOrientation = False
image.load_freetype("/root/preset/fonts/CascadiaCodePL-Italic.ttf")def lcdRotation(inputImg,rotationAngle):from maix import imageimageRotationBuffer = inputImg.crop(0, 0, 240, 320)if ScreenOrientation:imgRotationAim = image.new(size = (240, 320))else:imgRotationAim = image.new(size = (320, 240))return imgRotationAim.draw_image(imageRotationBuffer.rotate(rotationAngle, adjust=1),0,0,alpha=1)if ScreenOrientation:CAMERAROTATE = +180
else:CAMERAROTATE = +90class Yolo:labels = ['sad', 'angry', 'peace', 'happy']anchors = [1.19, 1.98, 2.79, 4.59, 4.53, 8.92, 8.06, 5.29, 10.32, 10.65]m = {"param": "/root/user/model/emotion-20260204142932.param","bin": "/root/user/model/emotion-20260204142932.bin"}options = {"model_type": "awnn","inputs": {"input0": (224, 224, 3)},"outputs": {"output0": (7, 7, (1+4+len(labels))*5)},"mean": [127.5, 127.5, 127.5],"norm": [0.0078125, 0.0078125, 0.0078125],}def __init__(self):from maix import nnfrom maix.nn import decoderself.model = nn.load(self.m, opt=self.options)self.decoder = decoder.Yolo2(len(self.labels), self.anchors, net_in_size=(224, 224), net_out_size=(7, 7))def __del__(self):del self.modeldel self.decoder
Yolo = Yolo()
while True:img_detection = lcdRotation(camera.capture(),CAMERAROTATE)img_detection = img_detection.crop(0, 0,224, 224)out = Yolo.model.forward(img_detection, quantize=True, layout="hwc")boxes, probs = Yolo.decoder.run(out, nms=0.3, threshold=0.5, img_size=(224, 224))if len(boxes):for boxesi, box in enumerate(boxes):boxes[boxesi].append(probs[boxesi])if len(boxes):for i in (boxes):img_detection.draw_string((i[0]),(i[1]), (''.join([str(x) for x in [Yolo.labels[i[4][0]], "；", str(round(((i[4][1][i[4][0]]) * 100), 2)) + str("%")]])), scale = 1, color = (255,0,0) , thickness = 1)img_detection.draw_rectangle((i[0]),(i[1]), (i[0]+i[2]),(i[1]+i[3]), color=(255,0,0), thickness=1)if ScreenOrientation:img_detectionVER = img_detection.crop(0,0,240,320)img_detectionVER = img_detectionVER.rotate(-90, adjust=1)display.show(img_detectionVER)else:display.show(img_detection)