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cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE) if cameraMode and ret: prev = time.time() while TIMER > 0: ret, img = cam.read() + img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE) # cv2.putText(img, str(TIMER), (200, 250), cv2.FONT_HERSHEY_SIMPLEX, 7, (0, 255, 255), 4, cv2.LINE_AA) img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB) img = Image.fromarray(img) @@ -47,10 +49,29 @@ if cam.isOpened(): break else: ret, img = cam.read() + img = cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE) predictions = DeepFace.analyze(img,actions=['emotion']) fearPoint = predictions[0]["emotion"]["fear"] - print("FEAR:" + str(fearPoint)) - + print("FEAR:" + str(round(fearPoint,2))) + if fearPoint>0: + + cv2.imwrite('scared.jpg', img) + basewidth = 384 + imgCrop = Image.open('scared.jpg') + wpercent = (basewidth/float(imgCrop.size[0])) + hsize = int((float(imgCrop.size[1])*float(wpercent))) + imgCrop = imgCrop.resize((basewidth,hsize), Image.Resampling.LANCZOS) + imgCrop = imgCrop.save("cropScared.jpg") + cv2.waitKey(2000) + printer.set(align='center',font='b',width=2,height=2) + + printer.image("cropScared.jpg") + printer.text("Fear Level: \n" + str(round(fearPoint,2))+"/100\n") + printer.text("(Scream Queen)\n") + #printer.set(align='center',font='b',width=1,height=1) + #printer.text("Spooky Night 2023") + #printer.text("2023\n") + printer.text("\n\n\n\n") img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB) img = Image.fromarray(img) draw = ImageDraw.Draw(img) @@ -61,20 +82,10 @@ if cam.isOpened(): img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR) #print(30+math.floor(int(fearPoint)*580/100)) # ft.putText(img=img,text='TEST',org=(15, 70),fontHeight=60,color=(255, 255, 255),thickness=-1,line_type=cv2.LINE_AA,bottomLeftOrigin=True) - cv2.rectangle(img,(30,400),(610,450),(255,255,255), 5) - cv2.rectangle(img,(30,400),(30+math.floor(int(fearPoint)*580/100),450),(255,255,255), -1) + #cv2.rectangle(img,(30,400),(610,450),(255,255,255), 5) + #cv2.rectangle(img,(30,400),(30+math.floor(int(fearPoint)*580/100),450),(255,255,255), -1) - if fearPoint>10: - cv2.imwrite('scared.jpg', img) - basewidth = 384 - imgCrop = Image.open('scared.jpg') - wpercent = (basewidth/float(imgCrop.size[0])) - hsize = int((float(imgCrop.size[1])*float(wpercent))) - imgCrop = imgCrop.resize((basewidth,hsize), Image.Resampling.LANCZOS) - imgCrop = imgCrop.save("cropScared.jpg") - cv2.waitKey(500) - printer.image("cropScared.jpg") - printer.text("\n\n\n\n") + cv2.imshow('webcam',img) cv2.waitKey(5000) @@ -91,4 +102,4 @@ if cam.isOpened(): if ord('q') == key: break -cam.release() \ No newline at end of file +cam.release() diff --git a/scared.jpg b/scared.jpg index 7a5a9742c441ec9bd4fc26a139e31fcaa8d6a92f..504f788bf634619bdab2b6b75395d99a8d264a97 100644 GIT binary patch literal 140814 zcmbTdWl$VX)c?CkSS-N_z7QZJ5IndAcL)S`*WdvbcMa~oxVyW%26uO7(Z&D#o~P>G zH}}Q8x2L*mrlzOs`>8%N)qT#H*M-*&0H&0fq!<7W4gi3AI{>fC0AT<;+<)c27XH72 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