ProPainter / web-demos /hugging_face /track_anything.py
PeiqingYang's picture
add highlight guidance, set memory limit
2f89268
import numpy as np
from tqdm import tqdm
from tools.interact_tools import SamControler
from tracker.base_tracker import BaseTracker
from inpainter.base_inpainter import ProInpainter
class TrackingAnything():
def __init__(self, sam_checkpoint, cutie_checkpoint, propainter_checkpoint, raft_checkpoint, flow_completion_checkpoint, args):
self.args = args
self.samcontroler = SamControler(sam_checkpoint, args.sam_model_type, args.device)
self.cutie = BaseTracker(cutie_checkpoint, device=args.device)
self.baseinpainter = ProInpainter(propainter_checkpoint, raft_checkpoint, flow_completion_checkpoint, args.device)
def first_frame_click(self, image: np.ndarray, points:np.ndarray, labels: np.ndarray, multimask=True):
mask, logit, painted_image = self.samcontroler.first_frame_click(image, points, labels, multimask)
return mask, logit, painted_image
def generator(self, images: list, template_mask:np.ndarray, size_limit=1024):
masks = []
logits = []
painted_images = []
for i in tqdm(range(len(images)), desc="Tracking image"):
if i==0:
mask, logit, painted_image = self.cutie.track(images[i], template_mask)
masks.append(mask)
logits.append(logit)
painted_images.append(painted_image)
else:
mask, logit, painted_image = self.cutie.track(images[i])
masks.append(mask)
logits.append(logit)
painted_images.append(painted_image)
return masks, logits, painted_images