remove data for training

This commit is contained in:
Szymon Parafiński 2023-02-01 00:30:39 +01:00
parent 2c52709d9d
commit 8a9b59baab
1087 changed files with 5 additions and 716 deletions

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licence

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@ -14,12 +14,10 @@ from yolo3.utils import get_random_data
def _main():
# './export/_annotations.txt'
annotation_path = '_annotations.txt'
annotation_path = 'API/train/_annotations.txt'
log_dir = 'logs/000/'
# './export/_annotations.txt'
classes_path = '_classes.txt'
anchors_path = 'model_data/yolo_anchors.txt'
classes_path = 'API/train/_classes.txt'
anchors_path = 'API/model_data/yolo_anchors.txt'
class_names = get_classes(classes_path)
print("-------------------CLASS NAMES-------------------")
print(class_names)
@ -32,10 +30,10 @@ def _main():
is_tiny_version = len(anchors)==6 # default setting
if is_tiny_version:
model = create_tiny_model(input_shape, anchors, num_classes,
freeze_body=2, weights_path='model_data/tiny_yolo_weights.h5')
freeze_body=2, weights_path='API/model_data/tiny_yolo_weights.h5')
else:
model = create_model(input_shape, anchors, num_classes,
freeze_body=2, weights_path='model_data/yolo.h5') # make sure you know what you freeze
freeze_body=2, weights_path='API/model_data/yolo.h5') # make sure you know what you freeze
logging = TensorBoard(log_dir=log_dir)
checkpoint = ModelCheckpoint(log_dir + 'ep{epoch:03d}-loss{loss:.3f}-val_loss{val_loss:.3f}.h5',

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