Testing the model

[Adriana618-Love]

Greetings, I wish you a good day. I have managed to train the network after many attempts but now I faced the challenge of testing it and apparently DCGAN does not have the test function, could you please provide this function?

[pminhtam]

    def test(self, config,input_images_fn_300W,input_masks_fn_300W):

        tx = np.random.random_integers(0, 32, size=config.batch_size)
        ty = np.random.random_integers(0, 32, size=config.batch_size)
        tf.global_variables_initializer().run()

        ffeed_dict = {self.input_images_fn_300W[0] : input_images_fn_300W,self.input_offset_height: tx, self.input_offset_width: ty,\
                     self.input_masks_fn_300W[0]:input_masks_fn_300W}
        img , texture,albedo,shade = self.sess.run([self.G_images_300W,self.texture_300W,self.albedo_300W, self.shade_300W], feed_dict=ffeed_dict)
        print(img , texture )
        return img , texture,albedo,shade

This is code i use to test model

[huyanfei-cqupt]

    def test(self, config,input_images_fn_300W,input_masks_fn_300W):

        tx = np.random.random_integers(0, 32, size=config.batch_size)
        ty = np.random.random_integers(0, 32, size=config.batch_size)
        tf.global_variables_initializer().run()

        ffeed_dict = {self.input_images_fn_300W[0] : input_images_fn_300W,self.input_offset_height: tx, self.input_offset_width: ty,\
                     self.input_masks_fn_300W[0]:input_masks_fn_300W}
        img , texture,albedo,shade = self.sess.run([self.G_images_300W,self.texture_300W,self.albedo_300W, self.shade_300W], feed_dict=ffeed_dict)
        print(img , texture )
        return img , texture,albedo,shade

This is code i use to test model

Hi，pminhtam. How to print the loss and various renderings generated？ Can you share that code? Thank you

[cyjouc]

    def test(self, config,input_images_fn_300W,input_masks_fn_300W):

        tx = np.random.random_integers(0, 32, size=config.batch_size)
        ty = np.random.random_integers(0, 32, size=config.batch_size)
        tf.global_variables_initializer().run()

        ffeed_dict = {self.input_images_fn_300W[0] : input_images_fn_300W,self.input_offset_height: tx, self.input_offset_width: ty,\
                     self.input_masks_fn_300W[0]:input_masks_fn_300W}
        img , texture,albedo,shade = self.sess.run([self.G_images_300W,self.texture_300W,self.albedo_300W, self.shade_300W], feed_dict=ffeed_dict)
        print(img , texture )
        return img , texture,albedo,shade

This is code i use to test model

Hi,pminhtam,Do you successfully compile the render_example.py?