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i got error, please help me sir, im so interested with this program

My webcam sometimes Not responding how can i solve the problem. but the cam working good.the recognition is strucked sometimes. please help

My webcam sometimes Not responding how can i solve the problem. but the cam working good.the recognition is strucked sometimes. please help

I missed something...for training and testing we have images plus bounding boxes in our inputs. But the final model input is image only. How is this handled?

Sir weights file is not opening in visual studio code

where is next video?

Bro plz help me even after installing all the dependencies, it is showing as "no module named tensorflow"

You have revealed the truth behind AI

can we use jupiter notebook?

Thnk u for making this topic easy for me i have to submit thesis on this

what are the requirements to run this code , can anyone explain please

Sir its showing no such file or directory:'color.csv what should we do sir

Appreciate your amazing skills! Explaining complex concepts in simple terms

the video is so helpful but the problem though is that video is 3 years old, there should be an updated needed with keras 3.3. Thanks in advance.😄

Sir yolov3 weight is doesn't able to open

Thank you so much

Which IDE is this

Bro, when you're going to upload the next video?

Hlo Anna help Anna, can't downloading the 3rd file

Thank you so much for the detailed explanation on the image colonization project! Your step-by-step guidance was incredibly helpful. Keep up the great work!

bro does these work on vs code

only detecting male classes

hello sir can i use transformer architecture(BERT) for finance fraud detection or credit card fraud cdetection

Can someone develop project for my business using YOLO.

Thank you for this video and the detailed explanation. I'm trying to set it up in a Python 3.9 environment, but it's not working. Could you please let me know which version of Python you are using?

Am completely a newbie to AI and ML topics, so i have a doubt. That is , is this a single layer ML model or Multi layer ML model ? Please correct me even if my question is wrong. Thank you

Sir why cant i import cv2 and pandas sir?please help

Sir does machine name the animal as cat or dog

i am getting following error D:\anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:513: FutureWarning: In the future `np.object` will be defined as the corresponding NumPy scalar. np.object, --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[6], line 2 1 import cv2 ----> 2 import tensorflow.keras as keras File D:\anaconda3\lib\site-packages\tensorflow\__init__.py:41 38 import six as _six 39 import sys as _sys ---> 41 from tensorflow.python.tools import module_util as _module_util 42 from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader 44 # Make sure code inside the TensorFlow codebase can use tf2.enabled() at import. File D:\anaconda3\lib\site-packages\tensorflow\python\__init__.py:45 40 from tensorflow.python.eager import context 42 # pylint: enable=wildcard-import 43 44 # Bring in subpackages. ---> 45 from tensorflow.python import data 46 from tensorflow.python import distribute 47 from tensorflow.python import keras File D:\anaconda3\lib\site-packages\tensorflow\python\data\__init__.py:25 22 from __future__ import print_function 24 # pylint: disable=unused-import ---> 25 from tensorflow.python.data import experimental 26 from tensorflow.python.data.ops.dataset_ops import Dataset 27 from tensorflow.python.data.ops.dataset_ops import INFINITE as INFINITE_CARDINALITY File D:\anaconda3\lib\site-packages\tensorflow\python\data\experimental\__init__.py:96 93 from __future__ import print_function 95 # pylint: disable=unused-import ---> 96 from tensorflow.python.data.experimental import service 97 from tensorflow.python.data.experimental.ops.batching import dense_to_ragged_batch 98 from tensorflow.python.data.experimental.ops.batching import dense_to_sparse_batch File D:\anaconda3\lib\site-packages\tensorflow\python\data\experimental\service\__init__.py:21 18 from __future__ import division 19 from __future__ import print_function ---> 21 from tensorflow.python.data.experimental.ops.data_service_ops import distribute 22 from tensorflow.python.data.experimental.service.server_lib import DispatchServer 23 from tensorflow.python.data.experimental.service.server_lib import WorkerServer File D:\anaconda3\lib\site-packages\tensorflow\python\data\experimental\ops\data_service_ops.py:25 22 import six 24 from tensorflow.python import tf2 ---> 25 from tensorflow.python.data.experimental.ops import compression_ops 26 from tensorflow.python.data.experimental.ops.distribute_options import AutoShardPolicy 27 from tensorflow.python.data.experimental.ops.distribute_options import ExternalStatePolicy File D:\anaconda3\lib\site-packages\tensorflow\python\data\experimental\ops\compression_ops.py:20 17 from __future__ import division 18 from __future__ import print_function ---> 20 from tensorflow.python.data.util import structure 21 from tensorflow.python.ops import gen_experimental_dataset_ops as ged_ops 24 def compress(element): File D:\anaconda3\lib\site-packages\tensorflow\python\data\util\structure.py:26 23 import six 24 import wrapt ---> 26 from tensorflow.python.data.util import nest 27 from tensorflow.python.framework import composite_tensor 28 from tensorflow.python.framework import ops File D:\anaconda3\lib\site-packages\tensorflow\python\data\util est.py:41 38 import six as _six 40 from tensorflow.python import _pywrap_utils ---> 41 from tensorflow.python.framework import sparse_tensor as _sparse_tensor 42 from tensorflow.python.util.compat import collections_abc as _collections_abc 45 def _sorted(dict_): File D:\anaconda3\lib\site-packages\tensorflow\python\framework\sparse_tensor.py:29 27 from tensorflow.python import tf2 28 from tensorflow.python.framework import composite_tensor ---> 29 from tensorflow.python.framework import constant_op 30 from tensorflow.python.framework import dtypes 31 from tensorflow.python.framework import ops File D:\anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py:29 27 from tensorflow.core.framework import types_pb2 28 from tensorflow.python.eager import context ---> 29 from tensorflow.python.eager import execute 30 from tensorflow.python.framework import dtypes 31 from tensorflow.python.framework import op_callbacks File D:\anaconda3\lib\site-packages\tensorflow\python\eager\execute.py:27 25 from tensorflow.python import pywrap_tfe 26 from tensorflow.python.eager import core ---> 27 from tensorflow.python.framework import dtypes 28 from tensorflow.python.framework import ops 29 from tensorflow.python.framework import tensor_shape File D:\anaconda3\lib\site-packages\tensorflow\python\framework\dtypes.py:513 482 _NP_TO_TF[pdt] = next( 483 _NP_TO_TF[dt] for dt in _NP_TO_TF if dt == pdt().dtype) 486 TF_VALUE_DTYPES = set(_NP_TO_TF.values()) 489 _TF_TO_NP = { 490 types_pb2.DT_HALF: 491 np.float16, 492 types_pb2.DT_FLOAT: 493 np.float32, 494 types_pb2.DT_DOUBLE: 495 np.float64, 496 types_pb2.DT_INT32: 497 np.int32, 498 types_pb2.DT_UINT8: 499 np.uint8, 500 types_pb2.DT_UINT16: 501 np.uint16, 502 types_pb2.DT_UINT32: 503 np.uint32, 504 types_pb2.DT_UINT64: 505 np.uint64, 506 types_pb2.DT_INT16: 507 np.int16, 508 types_pb2.DT_INT8: 509 np.int8, 510 # NOTE(touts): For strings we use np.object as it supports variable length 511 # strings. 512 types_pb2.DT_STRING: --> 513 np.object, 514 types_pb2.DT_COMPLEX64: 515 np.complex64, 516 types_pb2.DT_COMPLEX128: 517 np.complex128, 518 types_pb2.DT_INT64: 519 np.int64, 520 types_pb2.DT_BOOL: 521 np.bool, 522 types_pb2.DT_QINT8: 523 _np_qint8, 524 types_pb2.DT_QUINT8: 525 _np_quint8, 526 types_pb2.DT_QINT16: 527 _np_qint16, 528 types_pb2.DT_QUINT16: 529 _np_quint16, 530 types_pb2.DT_QINT32: 531 _np_qint32, 532 types_pb2.DT_BFLOAT16: 533 _np_bfloat16, 534 535 # Ref types 536 types_pb2.DT_HALF_REF: 537 np.float16, 538 types_pb2.DT_FLOAT_REF: 539 np.float32, 540 types_pb2.DT_DOUBLE_REF: 541 np.float64, 542 types_pb2.DT_INT32_REF: 543 np.int32, 544 types_pb2.DT_UINT32_REF: 545 np.uint32, 546 types_pb2.DT_UINT8_REF: 547 np.uint8, 548 types_pb2.DT_UINT16_REF: 549 np.uint16, 550 types_pb2.DT_INT16_REF: 551 np.int16, 552 types_pb2.DT_INT8_REF: 553 np.int8, 554 types_pb2.DT_STRING_REF: 555 np.object, 556 types_pb2.DT_COMPLEX64_REF: 557 np.complex64, 558 types_pb2.DT_COMPLEX128_REF: 559 np.complex128, 560 types_pb2.DT_INT64_REF: 561 np.int64, 562 types_pb2.DT_UINT64_REF: 563 np.uint64, 564 types_pb2.DT_BOOL_REF: 565 np.bool, 566 types_pb2.DT_QINT8_REF: 567 _np_qint8, 568 types_pb2.DT_QUINT8_REF: 569 _np_quint8, 570 types_pb2.DT_QINT16_REF: 571 _np_qint16, 572 types_pb2.DT_QUINT16_REF: 573 _np_quint16, 574 types_pb2.DT_QINT32_REF: 575 _np_qint32, 576 types_pb2.DT_BFLOAT16_REF: 577 _np_bfloat16, 578 } 580 _QUANTIZED_DTYPES_NO_REF = frozenset([qint8, quint8, qint16, quint16, qint32]) 581 _QUANTIZED_DTYPES_REF = frozenset( 582 [qint8_ref, quint8_ref, qint16_ref, quint16_ref, qint32_ref]) File D:\anaconda3\lib\site-packages umpy\__init__.py:305, in __getattr__(attr) 300 warnings.warn( 301 f"In the future `np.{attr}` will be defined as the " 302 "corresponding NumPy scalar.", FutureWarning, stacklevel=2) 304 if attr in __former_attrs__: --> 305 raise AttributeError(__former_attrs__[attr]) 307 # Importing Tester requires importing all of UnitTest which is not a 308 # cheap import Since it is mainly used in test suits, we lazy import it 309 # here to save on the order of 10 ms of import time for most users 310 # 311 # The previous way Tester was imported also had a side effect of adding 312 # the full `numpy.testing` namespace 313 if attr == 'testing': AttributeError: module 'numpy' has no attribute 'object'. `np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe. The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: numpy.org/devdocs/release/1.20.0-notes.html#deprecations

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thankyou. Next videos?

If the path involves train data and test data and 2 files, say, men and women within testdata folder and traindata folder how do i specify the directory and categories. The zipfile consists of 1000 images of men and equal amount of images for women. How do i specify the code?

Sir I need some help from because code is not running

Hello sir... Metadata (pyproject.toml) problem existing what should I do

Thank you so much sir 🙏

thanks

How to add UI to this project

DLL load failed while importing _pywrap_tf2: A dynamic link library (DLL) initialization routine failed. this error occurs sir while compling the code but i installed all the libraries correctly

your are directly assigning featues to x without specifying or the fetures is not there in dataset

Thank you

Thank you

Next videos

@16:08 - check for img_arr is None or not

the best tutorial i watched till now

in which software we have to do this ??

Thank a lot I really love the way you go about it step by step

cv 2 creates problem

as i work with different data sources as a newbie , i have more problems preprocessing data than making a CNN

Thank you for the video tutorial 🙏😁 if you would create an Android app to capture screenshots of people smiling from videos that would be massive 🙌✨😉

Sir supr sir....Super Explanation with Coding...But,Where you do this Coding?