Error while loading weights

[pankaj-saha]

Load weights

from utils import load_weights
model = get_model()
load_weights(model,'yolo-tiny.weights')

Error:

/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:8: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(16, (3, 3), input_shape=(3, 448, 4..., strides=(1, 1), padding="same")

/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:13: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(32, (3, 3), padding="same")
del sys.path[0]
/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:15: UserWarning: Update your MaxPooling2D call to the Keras 2 API: MaxPooling2D(pool_size=(2, 2), padding="valid")
from ipykernel import kernelapp as app

InvalidArgumentError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py in _create_c_op(graph, node_def, inputs, control_inputs, op_def)
1653 try:
-> 1654 c_op = pywrap_tf_session.TF_FinishOperation(op_desc)
1655 except errors.InvalidArgumentError as e:

InvalidArgumentError: Negative dimension size caused by subtracting 2 from 1 for '{{node max_pooling2d_38/MaxPool}} = MaxPoolT=DT_FLOAT, data_format="NHWC", ksize=[1, 2, 2, 1], padding="VALID", strides=[1, 2, 2, 1]' with input shapes: [?,1,224,32].

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
14 frames
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py in _create_c_op(graph, node_def, inputs, control_inputs, op_def)
1655 except errors.InvalidArgumentError as e:
1656 # Convert to ValueError for backwards compatibility.
-> 1657 raise ValueError(str(e))
1658
1659 return c_op

ValueError: Negative dimension size caused by subtracting 2 from 1 for '{{node max_pooling2d_38/MaxPool}} = MaxPoolT=DT_FLOAT, data_format="NHWC", ksize=[1, 2, 2, 1], padding="VALID", strides=[1, 2, 2, 1]' with input shapes: [?,1,224,32].

[gael-gao]

I also meet the same type of error when I load weights:
ValueError: Negative dimension size caused by subtracting 2 from 1 for '{{node max_pooling2d/MaxPool}} = MaxPoolT=DT_FLOAT, data_format="NHWC", explicit_paddings=[], ksize=[1, 2, 2, 1], padding="VALID", strides=[1, 2, 2, 1]' with input shapes: [?,1,150,16].