MUSIQ metric needs to be added with a PyTorch module

[ethanweber]

I used a TensorFlow model for the MUSIQ metric which is difficult to install. We should find a better one with PyTorch and update this part of the code to work properly.

nerfiller/nerfiller/utils/metrics.py

Lines 173 to 185 in e017c6e

	# scores = []
	# for i in range(bs):
	# image = preds[i].permute(1, 2, 0)
	# img = Image.fromarray((image.detach().cpu().numpy() * 255).astype("uint8"))
	# image_bytes = io.BytesIO()
	# img.save(image_bytes, format="PNG")
	# image_bytes = image_bytes.getvalue()
	# x = tf.constant(image_bytes)
	# assert x.device.endswith("GPU:0")
	# aesthetic_score = self.predict_fn(x)
	# score = float(tf.squeeze(aesthetic_score["output_0"]).numpy())
	# scores.append(score)
	# scores = torch.tensor(scores)