#!/usr/bin/env python #version : 2023.04.04 #language : en from maix import camera from maix import display from maix import image from maix import nn from maix.nn import decoder camera.camera.config(size=(320,240)) ScreenOrientation = False image.load_freetype("/root/preset/fonts/CascadiaCodePL-Italic.ttf") def lcdRotation(inputImg,rotationAngle): from maix import image imageRotationBuffer = 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 = +90 class Number_recognition: mdsc_path = "/root/preset/model/Number.mud" labels = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'] anchors = [1.0, 5.0, 1.35, 5.42, 0.49, 2.55, 0.86, 3.75, 0.65, 4.38] def __init__(self): self.model = nn.load(self.mdsc_path) self.decoder = decoder.Yolo2(len(self.labels) , self.anchors , net_in_size = (224, 224) ,net_out_size = (7,7)) def __del__(self): del self.model del self.decoder def cal_fps(self ,start , end): one_second = 1 one_flash = end - start fps = one_second / one_flash return fps number_recognition = Number_recognition() canvasImg = image.new(size = (240, 320)) while True: canvasImg.clear() img_mnist = camera.capture() img_mnist = img_mnist.crop(0, 0,224, 224) out = number_recognition.model.forward(img_mnist, quantize=1, layout = "hwc") boxes, probs = number_recognition.decoder.run(out, nms=0.5, threshold=0.3, 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_mnist.draw_string(i[0],i[1], (str(number_recognition.labels[i[4][0]]) + str(str(":") + str(round(i[4][1][i[4][0]]*100, 2)))), scale = 1, color = (255,0,0) , thickness = 1) img_mnist.draw_rectangle(i[0],i[1], int(i[0] + i[2]),int(i[1] + i[3]), color=(255,0,0), thickness=1) if ScreenOrientation: img_mnistVER = img_mnist.crop(0,0,240,320) img_mnistVER = img_mnistVER.rotate(-90, adjust=1) display.show(img_mnistVER) else: canvasImg.draw_image(img_mnist,48,8) canvasImg.draw_image((image.open("/root/preset/img/exit_ff0000_24x24.png")).rotate(0, adjust=0),288,216,alpha=1) display.show(canvasImg)