spidy20 / face_mask_detection Goto Github PK

int() argument must be a string a bytes-like object or a number not 'nonetype'

facemask-detection/models-master/research/object_detection/face_mask_detection-master/training/labelmap.pbtxt; No such file or directory

I cannot find labelmap.pbtxt in training folder after unzipping it.

could you please provide us the dataset which has been used to train your model?

ImportError: cannot import name 'string_int_label_map_pb2'

The link you provided of training file from google drive is corrupted. i downloaded it twice but failed to open it, Kindly share link again

The training.zip file does not exist anymore. Would it be possible to upload it again please? I thank you very much!

`---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
in
11
12 # Import utilites
---> 13 from utils import label_map_util
14 from utils import visualization_utils as vis_util
15

~\Desktop\Mask Detector\master\research\object_detection\utils\label_map_util.py in
25 import tensorflow as tf
26 from google.protobuf import text_format
---> 27 from object_detection.protos import string_int_label_map_pb2
28
29

ImportError: cannot import name 'string_int_label_map_pb2' from 'object_detection.protos' (..\object_detection\protos_init_.py)
`
I have tensorflow version '1.15.0'

Got this error on running the code:

label_map_util.py in convert_label_map_to_categories(label_map, max_num_classes, use_display_name)
AttributeError Traceback (most recent call last)
in
39 # dictionary mapping integers to appropriate string labels would be fine
40 label_map = label_map_util.load_labelmap(PATH_TO_LABELS)
---> 41 categories = label_map_util.convert_label_map_to_categories(label_map, max_num_classes=NUM_CLASSES, use_display_name=True)
42 category_index = label_map_util.create_category_index(categories)
43
~\Documents\Face Mask Detection Project\face_mask_detection_May_28_2020\models-master\models-master\research\object_detection\utils\label_map_util.py in convert_label_map_to_categories(label_map, max_num_classes, use_display_name)
131 list_of_ids_already_added.append(item.id)
132 category = {'id': item.id, 'name': name}
--> 133 if item.keypoints:
134 keypoints = {}
135 list_of_keypoint_ids = []
AttributeError: keypoints

ValueError: NodeDef mentions attr 'incompatible_shape_error' not in Op<name=Equal; signature=x:T, y:T -> z:bool; attr=T:type,allowed=[DT_BFLOAT16, DT_HALF, DT_FLOAT, DT_DOUBLE, DT_UINT8, ..., DT_QINT8, DT_QINT32, DT_STRING, DT_BOOL, DT_COMPLEX128]; is_commutative=true>; NodeDef: {{node GridAnchorGenerator/assert_equal_1/Equal}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).

ValueError: NodeDef mentions attr 'incompatible_shape_error' not in Op<name=Equal; signature=x:T, y:T -> z:bool; attr=T:type,allowed=[DT_BFLOAT16, DT_HALF, DT_FLOAT, DT_DOUBLE, DT_UINT8, ..., DT_QINT8, DT_QINT32, DT_STRING, DT_BOOL, DT_COMPLEX128]; is_commutative=true>; NodeDef: {{node GridAnchorGenerator/assert_equal_1/Equal}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).