v2.0: cartoon landmark model v2

Cartoon face landmark model v2 (68 points), fine-tuned from the v1 model on cartoon and caricature faces plus a small share of in-house real-face video frames (details in the README).

For inference it is a drop-in replacement for v1: the weights are in checkpoint["net"], so pass the file with --pretrained_weight.

• File: mdfld_cartoon_v2.pkl, 69,027,997 bytes
• SHA-256: f061f616133fe0d2497093037af2a8ff6968fb898016188282fd0f914ae9d65e

CariFace test set: 1,560 caricatures with CariFace's ground truth. The images were not used for training, but their labels were used to tune the pseudo-labelling settings. NME is in % of the outer eye-corner distance; lower is better.

Crop (v1 → v2)	All 68	Eyes	Mouth	Eye failure rate
demo.py crop, 1 pass	7.81 → 6.43	4.57 → 3.80	6.44 → 4.88	6.8% → 5.1%
Tight crop, 2 passes	8.31 → 7.63	3.82 → 3.17	6.30 → 4.73	3.3% → 1.7%

With the tight crop the eyebrows get worse (12.33 → 13.63). All face regions, the crops, the training data and the known limitations are in the README under Cartoon model v2. Research use only.