deepsign-a-deep-learning-architecture-for-sign-language-recognition's People
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skclasses taryar27 yacine-lab souftarga ann-korea pantrok bhagyaperera singh-karan10 eric11eca xiaoyubing yashrode774 hamzahloqman joelmgjt kskhannaio aslam-ep phutares mu-magdy ethio-artifical hieubui1606deepsign-a-deep-learning-architecture-for-sign-language-recognition's Issues
NO MODULE NAMED :: saved_models/ssd_mobilenet/frozen_inference_graph.pb
@jayshah19949596 please can you upload this directory or suggest an alternative to install this?
train_auto_encoder_1.py issue
File "Code\core\train_auto_encoder_1.py", line 178, in
train()
File "Code\core\train_auto_encoder_1.py", line 153, in train
utility.freeze_model(sess,logs_path,tf.train.latest_checkpoint(logs_path),cae,"encoder_train.pb",cs.ENCODER1_FREEZED_PB_NAME)
File "Code\utils\utility.py", line 35, in freeze_model
freeze_graph.freeze_graph(input_graph_path,
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\tools\freeze_graph.py", line 346, in freeze_graph
return freeze_graph_with_def_protos(
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\tools\freeze_graph.py", line 189, in freeze_graph_with_def_protos
saver = saver_lib.Saver(
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saver.py", line 836, in init
self.build()
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saver.py", line 848, in build
self._build(self._filename, build_save=True, build_restore=True)
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saver.py", line 876, in _build
self.saver_def = self._builder._build_internal( # pylint: disable=protected-access
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saver.py", line 489, in _build_internal
saveables = saveable_object_util.validate_and_slice_inputs(
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saving\saveable_object_util.py", line 362, in validate_and_slice_inputs
for converted_saveable_object in saveable_objects_for_op(op, name):
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saving\saveable_object_util.py", line 223, in saveable_objects_for_op
yield ResourceVariableSaveable(variable, "", name)
File "AppData\Local\Programs\Python\Python39\lib\site-packages\tensorflow\python\training\saving\saveable_object_util.py", line 95, in init
self.handle_op = var.op.inputs[0]
IndexError: tuple index out of range
getting this error after running train_auto_encoder_1.py
and after updating every tensorflow v1 to v2
any ideas?
ValueError: not enough values to unpack (expected 2, got 1) in file auto_encoder_1.py
ValueError Traceback (most recent call last)
in
1 total_start_time = time.time()
----> 2 train()
3 total_end_time = time.time()
4 print("===================================================")
5 print("Total Execution Time =", total_end_time - total_start_time)
in train()
163 # Freeze the session graph
164 # =========================
--> 165 cae.process_node_names()
166 utility.freeze_model(sess, logs_path, tf.train.latest_checkpoint(logs_path),
167 cae, "encoder_train.pb", cs.ENCODER1_FREEZED_PB_NAME)
d:\Hacks\ACM ASL\DeepSign-A-Deep-Learning-Architecture-for-Sign-Language-Recognition-master\models\auto_encoder_1.py in process_node_names(self)
27 print(self.nodes)
28 for i in range(len(self.nodes)):
---> 29 node_name, node_number = self.nodes[i].split(":")
30 self.nodes[i] = node_name
31
ValueError: not enough values to unpack (expected 2, got 1)
This is the whole error I'm getting. I tried to rewrite auto_encoder_1.py file a bit, but overall I'm coming back to this same place. This is not an issue with updated libraries. I'm using tf.compat.v1 and also made other necessary changes, but still encountering these issues. Can someone help me here?
Can anybody tell me where to change the batch size for the auto_encoder model?
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