Hey!! I have a new tutorial for making a custom object detection model for tensorflow 2 here: kzread.info/dash/bejne/ap-oxamKXbvYlbQ.html

finally I have found a video which, shows how to do it visually on custom data sets, damn I was looking for such a video for long time now

LOVE YOU

Excellent tutorial with detailed explanation, thanks Ben!!! Really helpful

I definitely subscribed to this channel . Actually I was trying to do the same step with tensorflow 2.X , I didn't notice the version of Tensorflow API. Thanks champp ! Can't wait for the API 2 .

@justindrew6560

2 жыл бұрын

instablaster...

This is going to be the next big tech channel, Ben gives credits to the rightful owner and shows the way around, awesome! Thanks man, You are good at engaging the audience.

@LazyTech825

3 жыл бұрын

Thank you!

Finally I got it. Amazing tutorial and teacher, you know the right way to teach Bro. Thanks a lot.

great video! thanks for showing both ways - train the model offline and with google colab.

Great content man i m sure you re gonna be the next sentdex way to go ❤

thank you for your content, you are saving my life

This is pretty cool and quite useful

Thanks man!! This helped me with my college project

Nice job!! Very easy to follow :) one small change I had to make since I didn't make an Oject_Detection_Files folder (don't think it was mentioned in video but shows up in your Google Colab code and Google drive) --> "%cd /content/gdrive/My Drive/models/research/"

@irugal8964

2 жыл бұрын

hey u mean change %cd /content/drive/MyDrive/Object_Detection_Files/models/research/ this path as %cd /content/gdrive/My Drive/models/research/ this rty?

Recently found you through sentdex and thanks a lot for these tutorials! I was also wondering if you will be uploading a video/tutorial in the future to be able to use our model to classify objects in images rather than through a webcam. I'm fairly new to all of this, so maybe it's not 100% apparent to me as to how I would feed some new images to the model to test it. Thanks again by the way!

@LazyTech825

4 жыл бұрын

Thanks! Glad I could help! I’m not sure if I’ll make a whole video on it but I can upload a script to my github. It’s very similar to the webcam version. I’ll leave comments in it so hopefully you can see what’s going on

@AC58401

4 жыл бұрын

@@LazyTech825 A script also works as well! Thanks a bunch!

@LazyTech825

4 жыл бұрын

Just uploaded the script to the github under the 'scripts' folder. Its pretty rough but works lol

worked like a charm.. thanks for the video.. :)

Thank you for a tutorial I’ve been looking everywhere and nothing could be found

do a tensorflow 2 with colab (object Detection) tutorial ,plz

Thanks man ...it works perfectly for me

Thank you very much for this tutorial

Really good tutorial! Please do a tensorflow 2 with colab (custom object Detection) tutorial

thank you for your content!

hello ben, I'm trying to run my model in google collab, when training is done the file model.ckpt, in a training folder is not updated(in my google drive of course) but some file like this appear "events.out.tfevents.1613859072.493383e7542e" is that weird files is checkpoint or nor ?

I notice you created a little cheap sheet for yourself (8:16). That is a real good idea!

good channel and thank you for bringing these contents here, one suggestion is to try to zoom in so that we can se clearly what you are doing, the code are very small in font size

@LazyTech825

3 жыл бұрын

Thanks for the tip!

You saved my life!!

Why did I get this error when training in Google colab. " python3: can't open file 'setup.py': [Errno 2] No such file or directory " Does the 'Object_Detection_Files' necessary to be created inside google drive? Hope you can guide me to perform the training for my final year project. Thank you so much

Hi Ben! The video series is awesome, I am able to train the model but during the testing I ain't getting the boxes around my objects which are basically leaves for which I am not able to get the any detection in the images, do you have any suggestion for this? Also this custom model file is at the level of object-detection folder along with training and data

@duderoz3tte141

3 жыл бұрын

Were you able to solve this issue? Because my object detection doesn't work either

where can I configure to save the checkpoints in training/ folder (like you did), I successed train the model but the checkpoints save in "/tmp/tmpvuy1ghi1/" folder

@LazyTech, thanks Ben. Despite some technical/code issues I'm facing, your video series is helping me get farther along vs. following Sentdex's outdated version. (To be sure, I do love all his other videos nevertheless.) I think you, too, will build a large fan base very quickly if you can regularly post such videos with examples of real-life applications. Anyway, as a genuine suggestion, would you please consider better organizing your files and folders before recording future videos? It's hard to follow some of the file/folder movements you're making on the fly while recording. Other movements however, such as those in response to run-time errors, are good for learning. Also, for future videos would you please zoom into your display screen more so it's easier to watch your screen while also following along on a large laptop screen or an external monitor's split screen? Hope you'll take my well-meaning suggestions in the right spirit. Looking forward to your future videos. Thanks again and best wishes.

@LazyTech825

3 жыл бұрын

thanks for the support and suggestions! Making videos is still new to me so I try to improve on something every time. I saw your other comment - make sure you're on tensorflow 1.15 or to make sure that your version is consistent wherever you set it. I plan on making a video that goes over questions that people leave in the comments that hopefully i will be able to solve

@anthonygonsalvis121

3 жыл бұрын

@@LazyTech825 Thx for taking the time to respond. Yes, I used TF 1.15 and mimicked the virtual environment as described in your video. I even switched to the ssd_mobilenet_v1_pets.config to eliminate the last potential source of error. I'm able to run most of the code except the most important final two python commands! Would greatly appreciate your addressing the execution challenges shared by the users. (I even painstakingly went through 1k+ images and settled on 650+ images with boxed object identifiers and was eagerly looking forward to seeing it through.) Cheers

Thanks for the great tutorial, can you please make a video on evaluation metrics for object detection?

It was a very good education 💪💪. I will find a small request. It would be nice if you enlarge the text on your computer a little in the videos from now on. I find it very difficult to read. Thank you.

@Lazy Tech Hi Ben! I am getting an error while performing the 'python train.py ... ' step, It is saying InvalidArgumentError: Shape mismatch in tuple component 20, Expected [1,?,?, 3] got [1, 482,339,1] What shall I do?

Hello, I have a question: I have a question, could this process be considered as transfer learning? Greetings from México.

Awesome! Work perfectly! But. I have a question, can i load keras (h5) model with that code?

Hi Ben, great tutorial. Can you please upload the command notepad? or any link where have you already uploaded it?

Hi Ben, what a great tutorial thanks a lot. but i have a question how if i want to add the tensorboard into the google colab while training?

i am following the same tutorial but i keep getting the tensorflow doesnt have the contrib attribute any way can fix that ?

Hi, when I tried to train the model the following error showed up: from object_detection.builders import dataset_builder ModuleNotFoundError: No module named 'object_detection' Do you have any idea about fixing that?!

Hi.. awesome tutorial. I would like to print out mAP or meanIOU metrics while training ? Please help me out to do this.

Wow This is so amazing Actually my Prof. asking me to do it like this. You may save me

Excellent tutorial Lazy. I have a question regarding what to do if I want to train the model further after already training it once. Since I'm using colab to train my model, I guessed I would just re-run the cell where it trains the model (@18:13) thinking it would pick up from the last checkpoint and improve on the loss from there. But it seems the model forgets everything and starts learning from the beginning with high loss values.

@LazyTech825

3 жыл бұрын

i believe you can add the flag --trained_checkpoint_prefix and give it the path to your most recent model.ckpt file

hey, thanks for the video! I wanted to know how to use the downloded model(saved_model or model.pb file) from colab as locally on jupyter and what files and dependencies I need to be sure of that should be present to support the model?

where are those files in your google drive coming from? setup.py isn't anywhere in your github and it's essential to the google collab notebook???

Can you upload the object detection folder of tensorflow 1 as its updated to tensoflow 2 and the old one is not visible

I'm getting this error "module 'google.protobuf.descriptor' has no attribute '_internal_create_key' " when I run the script for testing the model, I searched for this error and updated the protoc version and libprotobuf as 3.11.2. Still I am getting this error, can you suggest a solution?

Can I ask what algorithms is being use here? Thank you for answering!

I created a custom model of 7 classes, It works good but it also detects humans, computers, paintings, even dogs. Which I never trained my model for. Do you know why is it doing this?

@LazyTech, Hi Ben, any suggestions to solve the following issue? A few others also encountered the same issue. > python train.py --train_dir=training/ --pipeline_config_path=training/ssd_mobilenet_v1_pets.config --logtostderr "ValueError: ssd_mobilenet_v1 is not supported. See `model_builder.py` for features extractors compatible with different versions of Tensorflow"

Bro, why am I having ModuleNotFoundError:No module named 'TensorFlow' even though I installed it in anaconda environment and inside the anaconda prompt?

When I run train.py. I get the following error. Any help is appreciated! tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node Dataset_map_TfExampleDecoder.decode_56}} assertion failed: [Unable to decode bytes as JPEG, PNG, GIF, or BMP]

Awesome tutorial- I'm working on the same problem in my research at the moment. Question- do you have that nifty word doc you're using available? I found one on your GitHub but it only goes through "First time setup". Thanks!

@LazyTech825

3 жыл бұрын

I've been editing it over time while trying to fix up, I will upload a more "complete" version of it soon

@DavidBraun31

3 жыл бұрын

@@LazyTech825 Great, thanks. I'm not sure whether you're still working on this in your research and / or have the spirit to wrestle with tf2.x, but I found that one of the tf2.x object detection colab tutorials covers this exact issue of fine tuning a tf object detection model to identify custom objects. It's: 'models/research/object_detection/colab_tutorials/eager_few_shot_od_training_tf2_colab.ipynb'. Thought you might find it useful! Thanks again.

hello bro i am working on garbage detection ;i follow all your steps but at end while training it show only "saving checkpoint to path training" what should i do please reply

What would be nice step once an object is detected to do some sort of output?

when i try to run "python train.py --train_dir=training/ --pipeline_config_path=training/ssd_mobilenet_v1_pets.config --logtostderr", i am getting an error named "ValueError: ssd_mobilenet_v1 is not supported. See `model_builder.py` for features extractors compatible with different versions of Tensorflow". What should i do?

@panosmallioris3346

3 жыл бұрын

hi i have the same error did you find a solution?

@VarunSharma-rr5dz

3 жыл бұрын

I believe, if you specifically go through that file 'model_builder.py' it will give you an overview about what version of tensorflow will support which model of the config file . Unless you can create a config file from scratch. That would be interesting. If you get a work around please do share your experience. thanks :-)

@panosmallioris3346

3 жыл бұрын

As it seems the model py uses the tensorflow 2 version that we have installed instead of version 1 if you change the ssd_mobilnet_v1 in pets.config to ssd_mobilnet_v1_keras (tf2 module) the error will stop So I think to solve this you should make sure you use only the version 1

@anthonygonsalvis121

3 жыл бұрын

@@panosmallioris3346 In this exercise we're working with TF1, not TF2 (not the other way around). Either way, the model_builder.py can handle both TF1 and TF2.

Hi guys. I trained model as Ben showed. But when i want to test model on pictures that model didn`t see, model can`t recognize them. Can it be because of bad quality of photos that i used for training? Thanks.

Very well explained and everything works!!!!

Should we change no of classes in ssd config file also?

I hope there are tensorflow 2 with colab tutorial

Hello :D I just wanted to know if can I use the same method to detect cracks in concrete.

Can this be used for developing an object detection mobile app as well please?

Hi Ben! When I run the train.py file, I get the following error: AttributeError: module 'tensorflow.python.framework.ops' has no attribute 'RegisterShape' Any idea how to solve it?

Hey bro ! I have a little-big question jajaja The size of the images for training the model are important for the perfomance (speed) of te CV ? I give you a example, I trained a YOLO model but the first time I didn't care the size of the images when I put the bbox using labelimg and then I had a slow answer when I ran the model on OPENCV and in my second training I changed the size of the images to 96*96 px and the model continue slowly but not like the first time, Pdt: Sorry if my syntax or redaction is bad I'm not a native english speaker

@LazyTech825

3 жыл бұрын

Size of the images to train will usually make the training slower, i'd expect it would probaly make the actual detection slower too if you're actually able to train the model with the large images (some times you run out of memory doing this)

I got this error when I was training: RuntimeError: Did not find any input files matching the glob pattern ['/content/gdrive/MyDrive/models/research/object_detection/train.record'] Can you please help

Bro....my tensorflow model is ready...but the thing is how am I supposed to convert it into tflite model?

how to export custom model in tflite format so we can use it on android ?

Excuse me, tensorflow object detection 2. X How to export freeze_ graph Model

great video man, you should open a Discord server to have some discussion :) thank you I would like to keep training my CNN with new data, when I finish to train my model I can reuse it to update the weights with the new data?

I am getting this error while try to train the model' Requirement already satisfied: tf_slim in /usr/local/lib/python3.6/dist-packages (1.1.0) Requirement already satisfied: absl-py>=0.2.2 in /usr/local/lib/python3.6/dist-packages (from tf_slim) (0.10.0) Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from absl-py>=0.2.2->tf_slim) (1.15.0) /content/gdrive/My Drive/models/research/object_detection WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/absl/app.py:251: main (from __main__) is deprecated and will be removed in a future version. Instructions for updating: Use object_detection/model_main.py. W1008 12:06:57.928218 139622818539392 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/absl/app.py:251: main (from __main__) is deprecated and will be removed in a future version. Instructions for updating: Use object_detection/model_main.py. Traceback (most recent call last): File "train.py", line 186, in tf.app.run() File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef) File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 300, in run _run_main(main, args) File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 251, in _run_main sys.exit(main(argv)) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 324, in new_func return func(*args, **kwargs) File "train.py", line 110, in main overwrite=True) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/lib/io/file_io.py", line 469, in copy copy_v2(oldpath, newpath, overwrite) File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/lib/io/file_io.py", line 486, in copy_v2 compat.as_bytes(src), compat.as_bytes(dst), overwrite) tensorflow.python.framework.errors_impl.NotFoundError: ; No such file or directory

What if I want to do something like, if it detects mask then just maybe print out something and if there's no mask worn by the person in cam, print out something else? I mean how can I access the results which are shown? I'm an utter noob please help me 🙏🏻

I have this error : ImportError: cannot import name 'input_reader_pb2' from 'object_detection.protos' (D:\Anaconda\lib\site-packages\object_detection\protos\__init__.py) :(

@MaxPrimeAY

3 жыл бұрын

I know that I am probably too late here. When you make protoc object_detection/protos/*.proto --python_out=. in models/research it will generate py files in models esearch\object_detection\protos. Copy them to D:\anaconda3\envs\object\Lib\site-packages\object_detection\protos\ where your anaconda locate This will solve your issue.

@MaxPrimeAY

3 жыл бұрын

Or just go straight to Google Colab. Much less pain in ass.

Hi.., where have you mentioned images path but you only entered the image name?

hey bro can we use this for tenserflow lite ..plz reply

thanks very much to you

How to evaluate the trained models? Also is there yolo model?

hi all, i always get the error when i run the train.py: AttributeError: module 'tensorflow._api.v1.compat.v1.compat' has no attribute 'v2'. please help me :(

Hi, any idea how can I put this on Android or convert it to TFLite? Thanks.

I exported the graph and the variables folder is empty. Can someone help?

I'm getting an attributeerror: _data_dir while training the model, can anyone please help?

Hello sir , I want to know number epoch, accuracy, batch in ssd mobilenet v1.config. Please , Can you give me the way to resolve the problem ?

Hello , I tried to work on the project , while training i got this issue please help with this UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position 57: invalid start byte Thank you

You are helping me accomplish my Ph.D. work. Thank you!!

Hey Ben! Superb Video really helped me a lot to develop my custom model. But I wanted to know how to find the input and output array of our frozen model so that I can convert it into tflite model. Plz Help

How long did the training process take you? After 1 hr im still at step 0 :( pls help

This is great to see! And how to calculate the mAP value and FPS for the custom model we've trained?

@LazyTech825

3 жыл бұрын

I’m unsure on how to find the fps, you could probably actually just use a third party fps counter. Getting the coordinate values is something I will be doing in the future

@waitwhat3547

3 жыл бұрын

@@LazyTech825 hey Ben! Thanks for this great series, can you suggest some videos or websites that explain the code and the mathematics that goes behind all of this, Thanks in advance!

@anthonygonsalvis121

3 жыл бұрын

@@waitwhat3547 Andrew Ng's (Standford Prof.) famous Machine Learning class on KZread and/or Coursera. For bite-size lessons on Statistics, look at Josh Starmer's StatQuest series.

cannot import name 'string_int_label_map_pb2' from 'object_detection.protos' (C:\Anaconda3\envs\spyder\lib\site-packages\object_detection\protos\__init__.py)

how do you make it work with an image rather than a video?

'tensorflow' has no attribute 'contrib' how to fix it

Hi Ben, these videos are so helpful. I'm new to working with software and you are so clear and instructive. I'm getting inspired to pursue a career change after following your ML tutorials.. I'd love to send you a gift card or buy you a coffee over Venmo if possible!

Not able to build and install setup.py in google colab getting error. A little fix help please.

i dont have models y1 folder and idk what you have in research folder

Hi Ben, I am thankful with your tutorial and now im currently in the phase of making my own model. However, i want to use tflite since i want to use it in raspberry pi. I did everything the same as you did but only change the config file to ssd_mobilenet_v2_quantized. Upon running the training code i discovered that it always giving me an error. Is it becuase it has a different way of working than the v1_mobilenet? I kindly ask for your help thanks!

@philipcochangco8705

2 жыл бұрын

hey, do you have the solution for this?

Hi, you didnt posted those commands i nthe descrptiion below.

can someone help me with this error " No module named 'tensorflow.compat'" Thanks

Do you guys know where to set the epochs?

how can I run the code on my GPU(Nvidia GTX 1050 4GB)

can you please share the link for the cheatsheet

my tensorflow model is training only one step and loss is 11.38 and it is not doing further step and not reducing loss and saving model to disk, what should i do??

@omarmarie7802

3 жыл бұрын

I have the same problem .. did you solve it already??

@omarmarie7802

3 жыл бұрын

I have read that its a memory issue, but i still can't fix it

@inayatmemon3320

3 жыл бұрын

@@omarmarie7802 Yes bro the actual problem was with memory, it was taking more memory bcoz of my mistake and mistake was I had given few images in training whose size was greater than 40mb and another mistake was that I changed the name of few images in training folder but in XML I didn't change any name, so these two were mistakes which was leading that problem so if you can check if you have done the same

thanks

hello, my project is detecting red balls. so i want this to the only red masks, what should i do? can you help me pls?

@LazyTech825

2 жыл бұрын

Instead of training the model on masks, just use images of red balls!

Excellent video! Would love to see a tf2 version