When I ran the prediction method, this line
out_scores, out_boxes, out_classes = sess.run([scores, boxes, classes], feed_dict={yolo_model.input: image_data, K.learning_phase(): 0})
gives me the following error : could any one helps me here please?
InvalidArgumentError: Input to reshape is a tensor with 153425 values, but the requested shape requires a multiple of 12635
[[Node: Reshape_37 = Reshape[T=DT_FLOAT, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](conv2d_23_2/BiasAdd, Reshape_37/shape)]]
During handling of the above exception, another exception occurred:
in ()
----> 1 out_scores, out_boxes, out_classes = predict(sess, "test.jpg")
in predict(sess, image_file)
24 ### START CODE HERE ### (≈ 1 line)
25
---> 26 out_scores, out_boxes, out_classes = sess.run([scores, boxes, classes], feed_dict={yolo_model.input: image_data, K.learning_phase(): 0})
27 ### END CODE HERE ###
28 # Print predictions info
~\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata)
898 try:
899 result = self._run(None, fetches, feed_dict, options_ptr,
--> 900 run_metadata_ptr)
901 if run_metadata:
902 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
~\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
1133 if final_fetches or final_targets or (handle and feed_dict_tensor):
1134 results = self._do_run(handle, final_targets, final_fetches,
-> 1135 feed_dict_tensor, options, run_metadata)
1136 else:
1137 results = []
~\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1314 if handle is None:
1315 return self._do_call(_run_fn, feeds, fetches, targets, options,
-> 1316 run_metadata)
1317 else:
1318 return self._do_call(_prun_fn, handle, feeds, fetches)
~\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
1333 except KeyError:
1334 pass
-> 1335 raise type(e)(node_def, op, message)
1336
1337 def _extend_graph(self):
InvalidArgumentError: Input to reshape is a tensor with 153425 values, but the requested shape requires a multiple of 12635
[[Node: Reshape_37 = Reshape[T=DT_FLOAT, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](conv2d_23_2/BiasAdd, Reshape_37/shape)]]
Caused by op 'Reshape_37', defined at:
File "C:\Users\Esta\Anaconda3\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "C:\Users\Esta\Anaconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\Esta\Anaconda3\lib\site-packages\ipykernel_launcher.py", line 16, in
app.launch_new_instance()
File "C:\Users\Esta\Anaconda3\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance
app.start()
File "C:\Users\Esta\Anaconda3\lib\site-packages\ipykernel\kernelapp.py", line 486, in start
self.io_loop.start()
File "C:\Users\Esta\Anaconda3\lib\site-packages\tornado\platform\asyncio.py", line 127, in start
self.asyncio_loop.run_forever()
File "C:\Users\Esta\Anaconda3\lib\asyncio\base_events.py", line 422, in run_forever
self._run_once()
File "C:\Users\Esta\Anaconda3\lib\asyncio\base_events.py", line 1432, in _run_once
handle._run()
File "C:\Users\Esta\Anaconda3\lib\asyncio\events.py", line 145, in _run
self._callback(*self._args)
File "C:\Users\Esta\Anaconda3\lib\site-packages\tornado\platform\asyncio.py", line 117, in _handle_events
handler_func(fileobj, events)
File "C:\Users\Esta\Anaconda3\lib\site-packages\tornado\stack_context.py", line 276, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\Esta\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 450, in _handle_events
self._handle_recv()
File "C:\Users\Esta\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 480, in _handle_recv
self._run_callback(callback, msg)
File "C:\Users\Esta\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 432, in _run_callback
callback(*args, **kwargs)
File "C:\Users\Esta\Anaconda3\lib\site-packages\tornado\stack_context.py", line 276, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\Esta\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:\Users\Esta\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 233, in dispatch_shell
handler(stream, idents, msg)
File "C:\Users\Esta\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "C:\Users\Esta\Anaconda3\lib\site-packages\ipykernel\ipkernel.py", line 208, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:\Users\Esta\Anaconda3\lib\site-packages\ipykernel\zmqshell.py", line 537, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:\Users\Esta\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2662, in run_cell
raw_cell, store_history, silent, shell_futures)
File "C:\Users\Esta\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2785, in _run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:\Users\Esta\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2903, in run_ast_nodes
if self.run_code(code, result):
File "C:\Users\Esta\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2963, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 2, in
yolo_outputs= yolo_head(yolo_model.output, anchors, len(class_names))
File "C:\Users\Esta\Projects\CarDetection_Yolo\yad2k\models\keras_yolo.py", line 115, in yolo_head
feats, [-1, conv_dims[0], conv_dims[1], num_anchors, num_classes + 5])
File "C:\Users\Esta\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 1947, in reshape
return tf.reshape(x, shape)
File "C:\Users\Esta\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 6112, in reshape
"Reshape", tensor=tensor, shape=shape, name=name)
File "C:\Users\Esta\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\Users\Esta\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3392, in create_op
op_def=op_def)
File "C:\Users\Esta\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1718, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
InvalidArgumentError (see above for traceback): Input to reshape is a tensor with 153425 values, but the requested shape requires a multiple of 12635
[[Node: Reshape_37 = Reshape[T=DT_FLOAT, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](conv2d_23_2/BiasAdd, Reshape_37/shape)]]
When I ran the prediction method, this line out_scores, out_boxes, out_classes = sess.run([scores, boxes, classes], feed_dict={yolo_model.input: image_data, K.learning_phase(): 0}) gives me the following error : could any one helps me here please?
InvalidArgumentError Traceback (most recent call last) ~\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, args) 1321 try: -> 1322 return fn(args) 1323 except errors.OpError as e:
~\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in _run_fn(feed_dict, fetch_list, target_list, options, run_metadata) 1306 return self._call_tf_sessionrun( -> 1307 options, feed_dict, fetch_list, target_list, run_metadata) 1308
~\Anaconda3\lib\site-packages\tensorflow\python\client\session.py in _call_tf_sessionrun(self, options, feed_dict, fetch_list, target_list, run_metadata) 1408 self._session, options, feed_dict, fetch_list, target_list, -> 1409 run_metadata) 1410 else:
InvalidArgumentError: Input to reshape is a tensor with 153425 values, but the requested shape requires a multiple of 12635 [[Node: Reshape_37 = Reshape[T=DT_FLOAT, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](conv2d_23_2/BiasAdd, Reshape_37/shape)]]
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)