aashishrai3799/Automated-Attendance-System-using-CNN
An End to End Real Time Face Identification and attendance system using CNN
PythonMIT
Issues
- 0
Training classifier Exception in Tkinter callback Traceback (most recent call last): File accept_large_sparse=False, File "E:\OCR\Automated-Attendance-System-using-CNN\benv\lib\site-packages\sklearn\base.py", line 581, in _validate_data X, y = check_X_y(X, y, **check_params) File "E:\OCR\Automated-Attendance-System-using-CNN\benv\lib\site-packages\sklearn\utils\validation.py", line 976, in check_X_y estimator=estimator, File "E:\OCR\Automated-Attendance-System-using-CNN\benv\lib\site-packages\sklearn\utils\validation.py", line 808, in check_array % (n_samples, array.shape, ensure_min_samples, context) ValueError: Found array with 0 sample(s) (shape=(0, 512)) while a minimum of 1 is required. @aashishrai3799 how to solve this issue
#9 opened by sheemavijayakumari - 3
- 0
error
#8 opened by Bel1234567 - 0
Requirements.txt
#6 opened by baibhav3211 - 2
- 0
- 2
ValueError
#3 opened by StasBurenin - 1
Run on gpu
#2 opened by TalhaaaYaqoob - 1
Missing files
#1 opened by guru9710