► My Other Tutorials: Realtime Object Detection with OpenCV on CPU ua-cam.com/video/hVavSe60M3g/v-deo.html DETECTRON2 Custom Object Detection, Custom Instance Segmentation Tutorial: Part 2 (Training Models) ua-cam.com/video/GoItxr16ae8/v-deo.html DETECTRON2 Custom Object Detection, Custom Instance Segmentation Tutorial: Part 1 (Preparing Data) ua-cam.com/video/ffTURA0JM1Q/v-deo.html Detectron2 on Colab ua-cam.com/video/bjay7fT934Y/v-deo.html Instance Segmentation as Rendering ua-cam.com/video/gnXlE9BO0lo/v-deo.html Detectron2 Complete Tutorial ua-cam.com/video/Pb3opEFP94U/v-deo.html Colorize Black and White Images and Videos using Python OpenCV ua-cam.com/video/EZWHAd0IH1M/v-deo.html Build and Install OpenCV 4.5.1 With CUDA GPU Support on Windows 10 ua-cam.com/video/YsmhKar8oOc/v-deo.html Face Detection Using OpenCV Python with CUDA GPU Acceleration ua-cam.com/video/GXcy7Di1oys/v-deo.html YOLOv4 On Android Using TFLite ua-cam.com/video/YzAjAS6Os8c/v-deo.html Install TensorFlow GPU Under 90 Seconds ua-cam.com/video/toJe8ZbFhEc/v-deo.html Install PyTorch GPU Under 90 Seconds ua-cam.com/video/raBkhUoeOHs/v-deo.html Custom YOLOv4 Object Detection with TensorFlow and TFLite ua-cam.com/video/vzTCJM18uoM/v-deo.html Darknet YOLOv4 Custom Object Detection: Part 2 (Training YOLOv4 Darknet) ua-cam.com/video/-NEB5P-SLi0/v-deo.html Darknet YOLOv4 Custom Object Detection: Part 1 (Preparing Custom Dataset) ua-cam.com/video/sKDysNtnhJ4/v-deo.html YOLOv4 Object Detection with TensorFlow, TFLite and TensorRT ua-cam.com/video/tCmC7nyfJp8/v-deo.html Darknet YOLOv4 Object Detection for Windows 10 on Images, Videos, and Webcams ua-cam.com/video/FE2GBeKuqpc/v-deo.html Real Time Object Detection on Webcam and Videos Using OpenCV With YOLOv3 and YOLOv4 | Windows Linux ua-cam.com/video/FjyF03uawsA/v-deo.html Build and Install OpenCV 4.4.0 with CUDA (GPU) Support on Windows 10 ua-cam.com/video/tjXkW0-4gME/v-deo.html Install TensorFlow GPU and PyTorch with CUDA on Windows 10 Anaconda | CUDA 10.1 cuDNN 7.6 ua-cam.com/video/PlW9zAg4cx8/v-deo.html Real-time Multiple Object Tracking with YOLOv4 TensorFlow and Deep Sort | Linux, Windows ua-cam.com/video/GagII5PAeKg/v-deo.html
Couldn't find a better explanation of this topic man, thanks! Just one question, if I just want to detect a specific category (like 'persons') what change should I make in the code?
Hi. Your Video is the best. Thank you!!! If you have time, please, make video with training TensorFlow object detection with custome dataset(multiple objects on one photo).
Hi there, finally the best tutorial combining Python's OOP and Tensorflow w/ Object detection. Big Thank for that! Very happy to see VS code instead of Jupyter ... I'm running TF on CPU, properly installed, works as fine w/ other codes but I encountered the issue at 17:18, haven't see that in any comment in here so hopefully u can help. First iteration of loop is OK and returns coordinates of bboxs (i kept print) but cannot put values into list, I got an issue: 'float' object has no attribute 'tolist' ... numpy is working properly, tried separately, tried bboxs as other numpy float types ... no way. Any help appreciated. I can definitely make different for loop to get the results but this one from your code seems to be very convenient. THX! bboxs detections themselves r OK, as well as classIndexes and classScores: [0.47741124 0.1476936 0.89125109 0.56230366] [0.29866141 0.51108599 0.7960301 0.67160702] [0.51208603 0.642344 0.92576289 1. ] [0.17613313 0.69002247 0.83901656 0.94078326] [0.21729946 0.2843374 0.82724762 0.48838997] [0.53525972 0.38459459 0.90493071 0.72966981] [0.23174107 0.78376955 0.40215534 0.92624658]
This error means the variable is not an array but a single float value. It should be an array. Alternatively, you can convert your variable to list by list(variable)
I have one issue. The bounding boxes somewhat appear multiple times in literally many certain spots, it's like the detection is set to be very sensitive, and I want to suppress it. How can I remove those repetitive boxes? Thank you.
3:06 I was testing my GPU device. When I typed tf.test.is_gpu_available(), it returned False afterwards, meaning my PC does not detect any GPU device at this moment. What should I do?
i got this error at 13:35 on bboxs = detections['detection_boxes'][0].numpy(): Exception has occurred: TypeError Only integers, slices (`:`), ellipsis (`...`), tf.newaxis (`None`) and scalar tf.int32/tf.int64 tensors are valid indices, got 'detection_boxes' can you help me sir?
I am new to Tensorflow, I got an error in line 43 which says "TypeError: '_UserObject' object is not callable" andı cannot find a solution. Any help will be appreciated.
@@TheCodingBug is it possible to add other classes to this pretrained model or if there is any other solution please tell me.. by the way i built and trained a model with roboflow but i don't know what to do next .. i need to get as output a screenshot of car's screen and every icon is in box with its name and its prediction
13:11 Thanks for tutorial video.I'm very glad this channel.I' ve a problem code particle can you help me pls: inputTensor = inputTensor[tf.newaxis,...] detections = self.model(inputTensor) Traceback (most recent call last): line 10, in detector.predictImage(imagePath) line 44, in predictImage self.createBoundingBox(image) line 57, in createBoundingBox detections = self.model(inputTensor) AttributeError: 'Detector' object has no attribute 'model'
Great tutorial!! Hi, when I ran createBoundingBox, I got the below error, what does it means ? Traceback (most recent call last): File "/content/tensorflow_object_detection/run_me.py", line 19, in detector.predictImage(imagePath) File "/content/tensorflow_object_detection/Detector.py", line 117, in predictImage bboxImage = self.createBoundingBox(image) File "/content/tensorflow_object_detection/Detector.py", line 86, in createBoundingBox classLabelText = self.classesList[classIndex] IndexError: list index out of range
This means that the index returned by the class is not in classesList. Make sure that self.classesList has all the classes properly loaded and it's size is 92.
Hi TheCodingBug. Thanks for your very helpful video tutorial. When I do a test if tensorflow has been successfully installed, I am getting a "FALSE" result. Can you please let me know how to correct this and proceed from here? Thanks.
This one was great. is it possible for a training tutorial for custom object dataset by using models from Model Zoo? like faster ccn? building up on this tutorial would be great
Yes it is. But if you're only interested in custom object detection using fasterRCNN, you can follow detectron2 custom object detection tutorial. Detectron2 model zoo also has fasterRCNN. ua-cam.com/video/GoItxr16ae8/v-deo.html
Hello. Congratulations on the video. I confess that I'm having a little trouble finding the files used in "TensorFlow Object Detection Zoo 03:44". I couldn't find where to download it. Thanks!
I really like your videos :) Are you planning to do a video on tensorflow keypoint detection (with custom data) or just custom data with tf model zoo (like with detectron2)?
hi I got an error :-- ModuleNotFoundError: No module named 'Detector' i had install Detector using pip and conda please let me know the Solution reagarding to it
I'm getting below error in the predirct Image function.. NameError: name 'self' is not defined This is for def predictImage(slef, imgPath): image = cv2.imread(imgPath) self.createBoundingBoxex(image) cv2.imshow('result', image) cv2.waitKey(0) cv2.destroyAllWindows() Please help me out
This is the best object recognition guide I've seen lately. The best of the best. I have a question: according to the table, the difference between efficientdet_d1 and efficientdet_d1 is 13 ms, but when running on a pc, the FPS fell from 14 to 1 (gtx 1080ti, ram 32 gb, cpu r5 2600) What could be the problem?
Hello, I tried to run this program object detection using Tensorflow . Nvidia GPU is already installed on my device. While running this it's showing that it uses 80% of CPU and only 1% of GPU. How to increase GPU usage? Can you please help me?
in 3:05, when i try to try to test whether tensor flow gpu is available, it says tf is not defined, i do not know whats the problem. Please someone help me out
can we use yolo model using this same approach? if NO , i have a custom trained yolo model, how will run object detection using the trained yolo model in tensorflow?
No you can not. I have a separate video for YOLO using TensorFlow but it would require TF 2.3.1.... I have made videos for both pretrained and custom yolov4 with TF.
Good inspiration , Great Job and more grease to your elbow sir, but how can i get the Video you are using from UA-cam or is there any site to be getting the videos to use sir? Thanks
hi, I really like your video is very helpful😄😄, however, the rectangle box did not detect the image that I want and the rectangle is not center. how I can fix this??🤣🤣
Please Help: I need to learn computer vision, but i struggle a lot, i dont know if i have to learn opencv or tensorflow or keras ? Please let me know to learn it asap
@@kumarclassic6031 the link to Patreon is at the end of the description. If you are already a Patreon supporter, you can message there and our team will help you.
File "d:\tensorflow_object_detection un_me.py", line 11, in detector.readClasses(classFile) File "d:\tensorflow_object_detection\Detector.py", line 13, in readClasses with open(classesFilePath, 'r') as f: FileNotFoundError: [Errno 2] No such file or directory: 'coco.names' It shows me this error pls resolve it...
2021-12-18 12:51:19.204000: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found Why is this error??
► My Other Tutorials:
Realtime Object Detection with OpenCV on CPU
ua-cam.com/video/hVavSe60M3g/v-deo.html
DETECTRON2 Custom Object Detection, Custom Instance Segmentation Tutorial: Part 2 (Training Models)
ua-cam.com/video/GoItxr16ae8/v-deo.html
DETECTRON2 Custom Object Detection, Custom Instance Segmentation Tutorial: Part 1 (Preparing Data)
ua-cam.com/video/ffTURA0JM1Q/v-deo.html
Detectron2 on Colab
ua-cam.com/video/bjay7fT934Y/v-deo.html
Instance Segmentation as Rendering
ua-cam.com/video/gnXlE9BO0lo/v-deo.html
Detectron2 Complete Tutorial
ua-cam.com/video/Pb3opEFP94U/v-deo.html
Colorize Black and White Images and Videos using Python OpenCV
ua-cam.com/video/EZWHAd0IH1M/v-deo.html
Build and Install OpenCV 4.5.1 With CUDA GPU Support on Windows 10
ua-cam.com/video/YsmhKar8oOc/v-deo.html
Face Detection Using OpenCV Python with CUDA GPU Acceleration
ua-cam.com/video/GXcy7Di1oys/v-deo.html
YOLOv4 On Android Using TFLite
ua-cam.com/video/YzAjAS6Os8c/v-deo.html
Install TensorFlow GPU Under 90 Seconds
ua-cam.com/video/toJe8ZbFhEc/v-deo.html
Install PyTorch GPU Under 90 Seconds
ua-cam.com/video/raBkhUoeOHs/v-deo.html
Custom YOLOv4 Object Detection with TensorFlow and TFLite
ua-cam.com/video/vzTCJM18uoM/v-deo.html
Darknet YOLOv4 Custom Object Detection: Part 2 (Training YOLOv4 Darknet)
ua-cam.com/video/-NEB5P-SLi0/v-deo.html
Darknet YOLOv4 Custom Object Detection: Part 1 (Preparing Custom Dataset)
ua-cam.com/video/sKDysNtnhJ4/v-deo.html
YOLOv4 Object Detection with TensorFlow, TFLite and TensorRT
ua-cam.com/video/tCmC7nyfJp8/v-deo.html
Darknet YOLOv4 Object Detection for Windows 10 on Images, Videos, and Webcams
ua-cam.com/video/FE2GBeKuqpc/v-deo.html
Real Time Object Detection on Webcam and Videos Using OpenCV With YOLOv3 and YOLOv4 | Windows Linux
ua-cam.com/video/FjyF03uawsA/v-deo.html
Build and Install OpenCV 4.4.0 with CUDA (GPU) Support on Windows 10
ua-cam.com/video/tjXkW0-4gME/v-deo.html
Install TensorFlow GPU and PyTorch with CUDA on Windows 10 Anaconda | CUDA 10.1 cuDNN 7.6
ua-cam.com/video/PlW9zAg4cx8/v-deo.html
Real-time Multiple Object Tracking with YOLOv4 TensorFlow and Deep Sort | Linux, Windows
ua-cam.com/video/GagII5PAeKg/v-deo.html
Highly recommended video! A hidden gem! Suggest beginners to pay attention it will save time.👍👍👍
I am glad you found it useful.
thank you Sir , the best video i've ever seen on Object Detection !
I am glad it was helpful.
your the best bro. so easy to follow and you move at a great pace. code is clean, simple and works perfectly. thank you
This tutorial is exactly what I needed. Thank you for being so clear and thorough! Subbed!
Thank you very much for this wonderful tutorial it was great help .👏👏😊❤
Couldn't find a better explanation of this topic man, thanks!
Just one question, if I just want to detect a specific category (like 'persons') what change should I make in the code?
You can place a check in found bounding box like:
if class index is not equal to 1, continue (assuming that person has index 1).
Hi. Your Video is the best. Thank you!!! If you have time, please, make video with training TensorFlow object detection with custome dataset(multiple objects on one photo).
Custom object detection is planned for next week.
Thanks for the tutorial is very clary! From Patagonia 👏
I am glad you've found it helpful.
Great video :)
But please take it slow and go into more detail.
I'm new. Your tutorial is so fast.
Pls provide video based on custom dataset and then train the model and integrate it in opencv to test
Hi there, finally the best tutorial combining Python's OOP and Tensorflow w/ Object detection. Big Thank for that! Very happy to see VS code instead of Jupyter ...
I'm running TF on CPU, properly installed, works as fine w/ other codes but I encountered the issue at 17:18, haven't see that in any comment in here so hopefully u can help. First iteration of loop is OK and returns coordinates of bboxs (i kept print) but cannot put values into list, I got an issue: 'float' object has no attribute 'tolist' ... numpy is working properly, tried separately, tried bboxs as other numpy float types ... no way. Any help appreciated. I can definitely make different for loop to get the results but this one from your code seems to be very convenient. THX!
bboxs detections themselves r OK, as well as classIndexes and classScores:
[0.47741124 0.1476936 0.89125109 0.56230366]
[0.29866141 0.51108599 0.7960301 0.67160702]
[0.51208603 0.642344 0.92576289 1. ]
[0.17613313 0.69002247 0.83901656 0.94078326]
[0.21729946 0.2843374 0.82724762 0.48838997]
[0.53525972 0.38459459 0.90493071 0.72966981]
[0.23174107 0.78376955 0.40215534 0.92624658]
This error means the variable is not an array but a single float value. It should be an array.
Alternatively, you can convert your variable to list by
list(variable)
Nice vid on object detection.
I am glad you found it helpful.
I have one issue. The bounding boxes somewhat appear multiple times in literally many certain spots, it's like the detection is set to be very sensitive, and I want to suppress it. How can I remove those repetitive boxes? Thank you.
Just great thanks
Can you please help me visual studio code
I installed it but i didn't get the popup of python interpreter when creation of detector.py
Please help me
Thank you, Helpful tutorial! 👏👏
My question is: how can I use my own trained model with my own labels, but using tensorflowv2 zoo models?
x2
how can we fine tune SSD model for custom object detection which can run on CPU faster .
3:06 I was testing my GPU device. When I typed tf.test.is_gpu_available(), it returned False afterwards, meaning my PC does not detect any GPU device at this moment. What should I do?
i got this error at 13:35 on bboxs = detections['detection_boxes'][0].numpy():
Exception has occurred: TypeError
Only integers, slices (`:`), ellipsis (`...`), tf.newaxis (`None`) and scalar tf.int32/tf.int64 tensors are valid indices, got 'detection_boxes'
can you help me sir?
thanks mate nice video
Good tutorial. I'm getting duplicate very similar bounding boxes on all of the objects I detect and I'm not really sure why and how to fix it.
Increase thresholds in NMS function
@@TheCodingBug thanks for the quick answer, did that and it fixed it.
Hi Great tutorial. Can you please share the test floder with images
You can download any images from Google for your testing. However, if you're looking for the code, it's available for our Patreon supporters.
@@TheCodingBug thanks working ❤️
I am new to Tensorflow, I got an error in line 43 which says "TypeError: '_UserObject' object is not callable" andı cannot find a solution. Any help will be appreciated.
thanks you very much
Is there any prtrained model of icons that can helps me to create an icon detection project for screens of cars ?
Not that I am aware of. You'll have to train your own model.
@@TheCodingBug is it possible to add other classes to this pretrained model or if there is any other solution please tell me.. by the way i built and trained a model with roboflow but i don't know what to do next .. i need to get as output a screenshot of car's screen and every icon is in box with its name and its prediction
13:11
Thanks for tutorial video.I'm very glad this channel.I' ve a problem code particle can you help me pls:
inputTensor = inputTensor[tf.newaxis,...]
detections = self.model(inputTensor)
Traceback (most recent call last):
line 10, in
detector.predictImage(imagePath)
line 44, in predictImage
self.createBoundingBox(image)
line 57, in createBoundingBox
detections = self.model(inputTensor)
AttributeError: 'Detector' object has no attribute 'model'
hi, I have the smae problem. did you firgured out ?
We need a custom dataset for object counter
very helpful sir
Great tutorial!!
Hi, when I ran createBoundingBox, I got the below error, what does it means ?
Traceback (most recent call last):
File "/content/tensorflow_object_detection/run_me.py", line 19, in
detector.predictImage(imagePath)
File "/content/tensorflow_object_detection/Detector.py", line 117, in predictImage
bboxImage = self.createBoundingBox(image)
File "/content/tensorflow_object_detection/Detector.py", line 86, in createBoundingBox
classLabelText = self.classesList[classIndex]
IndexError: list index out of range
This means that the index returned by the class is not in classesList.
Make sure that self.classesList has all the classes properly loaded and it's size is 92.
@@TheCodingBug Thanks!!
inputTensor = cv2.cvtColor(image.copy(),cv2.COLOR_BGR2RGB)
what the function of copy() in this line?
This function is for create a copy of "image". If you don't create this copy, the function could modify the original image.
Excellent ❤️❤️
This man is Jesus, Thx
Thanks
Hi TheCodingBug. Thanks for your very helpful video tutorial.
When I do a test if tensorflow has been successfully installed, I am getting a "FALSE" result. Can you please let me know how to correct this and proceed from here? Thanks.
Make sure you have an Nvidia GPU, latest driver installed, and compatible combination of cuda plus cudnn installed.
@@TheCodingBug thanks a lot!
This one was great. is it possible for a training tutorial for custom object dataset by using models from Model Zoo? like faster ccn? building up on this tutorial would be great
Yes it is. But if you're only interested in custom object detection using fasterRCNN, you can follow detectron2 custom object detection tutorial. Detectron2 model zoo also has fasterRCNN.
ua-cam.com/video/GoItxr16ae8/v-deo.html
@@TheCodingBug ✌✌
very helpful video
how do i change the model in this'
Hello. Congratulations on the video. I confess that I'm having a little trouble finding the files used in "TensorFlow Object Detection Zoo 03:44". I couldn't find where to download it. Thanks!
the code or program will download it for you.😄
Is there a way to get the confusion matrix of the difference models, and also the F1 score, recall and mAP?
Great video sir! but can it be implemented with densenet model that has h5 file format?
I really like your videos :) Are you planning to do a video on tensorflow keypoint detection (with custom data) or just custom data with tf model zoo (like with detectron2)?
Thank you for the appreciation.
Yes. Custom object detection with any of the 40 models tutorial is planned for next week.
@@TheCodingBug I am looking forward to this :) Another question: Could you upload the code you've written in the video (e.g. to github)?
@@kevingann3184 All codes are available on Patreon.
@@TheCodingBug link ?
@@akhibali8405 link for what?
For some reason, it does not use my GPU when I am running it on a video.
Superb video. How to visualise that model where we uses as an URL.
Sorry I didn't get the question.
I get the following error
IndexError: list index out of range
How can I solve this?
hi I got an error :-- ModuleNotFoundError: No module named 'Detector' i had install Detector using pip and conda please let me know the Solution reagarding to it
Detector isn't a module you install. It's a class that we code. This video explained coding of this class as well.
I'm getting below error in the predirct Image function..
NameError: name 'self' is not defined
This is for
def predictImage(slef, imgPath):
image = cv2.imread(imgPath)
self.createBoundingBoxex(image)
cv2.imshow('result', image)
cv2.waitKey(0)
cv2.destroyAllWindows()
Please help me out
Spelling of self is wrong in method declaration.
What does it mean when it says “savedmodel file does not exsist at : /.pretrained_models\checkpoints\ssd….
This is the best object recognition guide I've seen lately. The best of the best.
I have a question: according to the table, the difference between efficientdet_d1 and efficientdet_d1 is 13 ms, but when running on a pc, the FPS fell from 14 to 1 (gtx 1080ti, ram 32 gb, cpu r5 2600)
What could be the problem?
Thank you for the appreciation.
I am not sure about that drastic difference. Maybe GPU memory requirements are higher than 11GB.
Thank you for awesome tutorial brother. Can we parse yolo model instead of deep learning model in very same tensorflow implementation.
No but you can use OpenCv or you'll have to convert yolo to TF.
dnn model is not found what will be do now
\
Excuse me sir, how to use mobilnetv3 small on tensorflow 2
how to select tf_gpu env if vscode don't ask? please help
can we run this in another computer that is not uses nvidia card?
Hello,
I tried to run this program object detection using Tensorflow . Nvidia GPU is already installed on my device. While running this it's showing that it uses 80% of CPU and only 1% of GPU. How to increase GPU usage? Can you please help me?
in 3:05, when i try to try to test whether tensor flow gpu is available, it says tf is not defined, i do not know whats the problem. Please someone help me out
Tensorflow-GPU is now simply tensorflow after version 2.10
@@TheCodingBug thanks, so what must I change now when activate shud I type "conda activate tf" instead of "conda activate tf_gpu" ????
can you run this without cuda gpu?
Yes you can, but inferencing would be slower.
Hey, when I tried running the very first file it gave me and error of no module found ‘tensorflow.python’ any idea?
Can we deploy our trained model (especially faster r-cnn one) like to localhost or web ?
In ana conda ENV CV2 is not working
You need to install cv2 by command
pip install opencv-python
can we use yolo model using this same approach? if NO , i have a custom trained yolo model, how will run object detection using the trained yolo model in tensorflow?
No you can not. I have a separate video for YOLO using TensorFlow but it would require TF 2.3.1.... I have made videos for both pretrained and custom yolov4 with TF.
is this able to use custom dataset and model?
Good inspiration , Great Job and more grease to your elbow sir, but how can i get the Video you are using from UA-cam or is there any site to be getting the videos to use sir?
Thanks
It's royalty free video. You can find many on UA-cam.
@@TheCodingBug Thanks 🙏
Hello, Thank for the video. Can we save video after object detection? @TheCodingBug
Yes. You need to define a video writer and then write every frame after detection.
hello do i need hhigh end pc for learning?
Hey, im getting this error "TypeError: cannot unpack non-iterable NoneType object" for the create_bounding_box function. Any idea?
There must be an error in the code.
It works for image detection but as soon as I switch to cam i get this error
It is showing false for me, What to do?
Hi. False for which command?
hi, I really like your video is very helpful😄😄, however, the rectangle box did not detect the image that I want and the rectangle is not center. how I can fix this??🤣🤣
can you help me please? @thecodingbug
You are fast please ,am new willing to learn
Can you make projects using yolo v5?
Please Help: I need to learn computer vision, but i struggle a lot, i dont know if i have to learn opencv or tensorflow or keras ? Please let me know to learn it asap
Keras for deep learning and opencv for computer vision.
Got stuck in the (No such file or directory: 'coco.names') part... TT
You need to download coco.names from the link in the description.
@@TheCodingBug thanks for the fast reply!! Had figured it out 20min afterwards. 😃
Amazing video thanks a lot!! : )
@@kevlar6814 I am glad it is resolved.
how did u solve it ??
Can you spill your laptop for using program tensorflow Like your video on top?
Sorry. What do you mean?
@@TheCodingBug about spesification your laptop for running the program tensorflow?
@@TaniaAchiever Corei7, 16GB RAM, GTX1060
@@TheCodingBug btw, my laptop only core i3 SSD 256gb ram 4gb .is it only with the specifications of the laptop can run this program?
can anyone provide me the code of this lecture?
The code is available for our Patreon supporters.
its free? cz YOLO we need pay licensed
why ananconda? do vs code editor work?
you are going to fast in explaining sir...cannot follow you!
I will try to improve.
first comment
❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
Where is the code bro
Code is only available for our Patreon supporters.
Means am i become a supporter to get code how to get it
@@kumarclassic6031 the link to Patreon is at the end of the description. If you are already a Patreon supporter, you can message there and our team will help you.
@@TheCodingBug is there any chance to buy this single code
File "d:\tensorflow_object_detection
un_me.py", line 11, in
detector.readClasses(classFile)
File "d:\tensorflow_object_detection\Detector.py", line 13, in readClasses
with open(classesFilePath, 'r') as f:
FileNotFoundError: [Errno 2] No such file or directory: 'coco.names'
It shows me this error pls resolve it...
Place coco.names file alongside the code
@@TheCodingBug I've placed the coco.names & detector.py file also but again it shows me this error...
@@Priyanka2k01 Set your classesFilePath to absolute path to the file like: classesFilePath="D:\tensorflow_object_detection\mscoco.names"
@@TheCodingBug thank you so much!!!
2021-12-18 12:51:19.204000: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
Why is this error??
You haven't installed supported versions of CUDA and cuDNN.
did you get rid of the error? If yes, how? Facing the same error
When I run the run_me.py to see the length, it says “Detector is not defined” even though I’ve copied the code u wrote exactly
There's a mistake. You haven't initialized detector class.
@@TheCodingBug ahhh perfect! Thank you very much I realized I misspelled init like innit