Adição do exemplo de classificação de vídeo utilizando opencv

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video-process-opencv/app.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+'''
+Script para a classificação de vídeos utilizando os pesos do retreino
+feito para identificar gestos de Libras
+'''
+
+import cv2 as cv
+
+import numpy as np
+
+from keras.models import load_model
+from keras.applications.mobilenet import preprocess_input
+
+model = load_model('weights/results_ican.h5')
+
+CLASSES = ['Amigo', 'Desculpa', 'Telefone']
+
+
+def classify(img_file):
+    r = model.predict(prepare_image(img_file))
+    return CLASSES[np.argmax(r)]
+
+
+def prepare_image(arr):
+    arr = cv.resize(arr, (224, 224))
+    img_array_expanded_dims = np.expand_dims(arr, axis=0)
+    return preprocess_input(img_array_expanded_dims)
+
+video = cv.VideoCapture(0) 
+
+while True:
+    ret, frame = video.read()
+
+    c = classify(frame)
+
+    frame = cv.putText(frame, c, (10, 40), cv.FONT_HERSHEY_COMPLEX, 1, 128)
+    cv.imshow('Video de classificação', frame)
+
+    if cv.waitKey(1) & 0xFF == ord('q'):
+        break
+
+video.release()
+cv.destroyAllWindows()
+