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Enable to change vocabulary after the class is initialized #122

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Enable to change vocabulary after the class is initialized #122

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4060232
change_vocab
haraduka Mar 2, 2023
3261b73
add change_vocabulary, set_default_vocabulary feature
mqcmd196 Jan 31, 2025
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25 changes: 24 additions & 1 deletion detic/predictor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@
from collections import deque
import cv2
import torch
import random

from detectron2.data import MetadataCatalog
from detectron2.engine.defaults import DefaultPredictor
Expand Down Expand Up @@ -37,7 +38,7 @@ def get_clip_embeddings(vocabulary, prompt='a '):
}

class VisualizationDemo(object):
def __init__(self, cfg, args,
def __init__(self, cfg, args,
instance_mode=ColorMode.IMAGE, parallel=False):
"""
Args:
Expand All @@ -50,10 +51,12 @@ def __init__(self, cfg, args,
self.metadata = MetadataCatalog.get("__unused")
self.metadata.thing_classes = args.custom_vocabulary.split(',')
classifier = get_clip_embeddings(self.metadata.thing_classes)
self._default_vocabulary = None
else:
self.metadata = MetadataCatalog.get(
BUILDIN_METADATA_PATH[args.vocabulary])
classifier = BUILDIN_CLASSIFIER[args.vocabulary]
self._default_vocabulary = args.vocabulary

num_classes = len(self.metadata.thing_classes)
self.cpu_device = torch.device("cpu")
Expand All @@ -67,6 +70,26 @@ def __init__(self, cfg, args,
self.predictor = DefaultPredictor(cfg)
reset_cls_test(self.predictor.model, classifier, num_classes)

def change_vocabulary(self, vocab):
"""
Args:
vocab (str): The comma separated string of vocabulary
"""
self.metadata = MetadataCatalog.get("__unused+"+str(random.random()))
self.metadata.thing_classes = vocab.split(',')
classifier = get_clip_embeddings(self.metadata.thing_classes)
num_classes = len(self.metadata.thing_classes)
reset_cls_test(self.predictor.model, classifier, num_classes)

def set_defalt_vocabulary(self):
if not self._default_vocabulary:
raise RuntimeError("The VisualizationDemo is not initalized with buildin vocabulary")
self.metadata = MetadataCatalog.get(
BUILDIN_METADATA_PATH[self._default_vocabulary])
classifier = BUILDIN_CLASSIFIER[self._default_vocabulary]
num_classes = len(self.metadata.thing_classes)
reset_cls_test(self.predictor.model, classifier, num_classes)

def run_on_image(self, image):
"""
Args:
Expand Down