aslakey/camera_angle

Camera Angle

This model predicts an image's cinematic camera angle [low, neutral, high, overhead, dutch]. The model is a DinoV2 with registers backbone (initiated with facebook/dinov2-with-registers-large weights) and trained on a diverse set of two thousand human-annotated images.

How to use:

import torch
from PIL import Image
from transformers import AutoImageProcessor
from transformers import AutoModelForImageClassification

image_processor = AutoImageProcessor.from_pretrained("facebook/dinov2-with-registers-large")
model = AutoModelForImageClassification.from_pretrained('aslakey/camera_angle')
model.eval()

# example dutch angle image
# model labels [low, neutral, high, overhead, dutch]
image = Image.open('dutch_angle.jpg')
inputs = image_processor(image, return_tensors="pt")
with torch.no_grad():
    outputs = model(**inputs)

# technically multi-label training, but argmax works too!
predicted_label = outputs.logits.argmax(-1).item()
print(model.config.id2label[predicted_label])

Performance:

Camera Angle	Precision	Recall
Low	72%	91%
Neutral	86%	70%
High	87%	75%
Overhead	67%	70%
Dutch (low coverage)	50%	50%