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refactor: custom weights file url

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This commit is contained in:
ZhaiSoul 2025-12-15 15:47:40 +00:00
parent 6aa1a10965
commit f2eb21c3eb
1 changed files with 14 additions and 13 deletions
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27
frigate/util/classification.py
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@ -122,9 +122,9 @@ def get_dataset_image_count(model_name: str) -> int:
class ClassificationTrainingProcess(FrigateProcess):
def __init__(self, model_name: str) -> None:
self.BASE_WEIGHT_PATH = os.environ.get(
"TF_KERAS_MOBILENET_V2_ENDPOINT",
"https://storage.googleapis.com/tensorflow/keras-applications/mobilenet_v2/",
self.BASE_WEIGHT_URL = os.environ.get(
"TF_KERAS_MOBILENET_V2_WEIGHTS_URL",
"",
)
super().__init__(
stop_event=None,
@ -184,23 +184,24 @@ class ClassificationTrainingProcess(FrigateProcess):
)
return False
alpha = 0.35
weights_path = "imagenet"
# Download MobileNetV2 weights if not present
weights_filename = (
f"mobilenet_v2_weights_tf_dim_ordering_tf_kernels_{alpha}_224_no_top.h5"
)
weights_path = os.path.join(MODEL_CACHE_DIR, "MobileNet", weights_filename)
if not os.path.exists(weights_path):
weights_url = self.BASE_WEIGHT_PATH + weights_filename
logger.info(f"Downloading MobileNet V2 weights file: {weights_url}")
ModelDownloader.download_from_url(weights_url, weights_path)
if self.BASE_WEIGHT_URL:
weights_path = os.path.join(
MODEL_CACHE_DIR, "MobileNet", "mobilenet_v2_weights.h5"
)
if not os.path.exists(weights_path):
logger.info("Downloading MobileNet V2 weights file")
ModelDownloader.download_from_url(
self.BASE_WEIGHT_URL, weights_path
)
# Start with imagenet base model with 35% of channels in each layer
base_model = MobileNetV2(
input_shape=(224, 224, 3),
include_top=False,
weights=weights_path,
alpha=alpha,
alpha=0.35,
)
base_model.trainable = False # Freeze pre-trained layers