I am trying to do Automatic number plate recognition training using google colab and during the process I run this line :
# Load pipeline config and build a detection model
configs = config_util.get_configs_from_pipeline_file(files['PIPELINE_CONFIG'])
detection_model = model_builder.build(model_config=configs['model'], is_training=False)
# Restore checkpoint
ckpt = tf.compat.v2.train.Checkpoint(model=detection_model)
ckpt.restore(os.path.join(paths['CHECKPOINT_PATH'], 'ckpt-5')).expect_partial()
@tf.function
def detect_fn(image):
image, shapes = detection_model.preprocess(image)
prediction_dict = detection_model.predict(image, shapes)
detections = detection_model.postprocess(prediction_dict, shapes)
return detections
and i got the following error:
NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for Tensorflow/workspace/models/my_ssd_mobnet/./model.ckpt-5
NotFoundError: Error when restoring from checkpoint or SavedModel at Tensorflow/workspace/models/my_ssd_mobnet/./model.ckpt-5: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for Tensorflow/workspace/models/my_ssd_mobnet/./model.ckpt-5 Please double-check that the path is correct. You may be missing the checkpoint suffix (e.g. the '-1' in 'path/to/ckpt-1').
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