How to Add Multiple Objects to a Custom Model - TensorFlow Object Detection

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Waiting for tf lite video... Keep up the good work 👍

vidhutripathi
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hi! thanks for your help bro, quick video again please 🙏 about how to convert the models to tflite format 😁

barrylinando
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Hi! Love your videos! I have 1 question. Can I use multiple models to detect different objects at the same time (e.g. using 2 models at the same time on a webcam)? For example, i would like to use the an existing pretrained model to detect "person" and a separate model that i've trained myself to detect face masks. If possible, how would I go about doing it?

Thanks in advance!

ngweisheng
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@Lazy Tech can you do a video on TensorFlow lite object detection on raspberry pi

vigneshramanathan
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Looks like I have to play some catch up lol Sorry man, had some problems with my YT but all is good now

Nezodam
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So, if we have multiple objects in a single image, we do not run the script named "xml_to_csv", am I right? I am confused since this part is different compared to previous video, in this video you change some lines in generate_tf_record just after annotations, and thanks for these videos.

ramazanaydnl
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Nice Videos bro! Keep it up! I think your video resolution is too high for youtube videos, it makes difficult to read sometimes without turning the video full screen.

navedansari
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Hey, I have one doubt. While training with custom data did you make any changes in the SSD config file? I mean changing no of classes from 90 to 1 etc

nithinreddy
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Hey man, quick question. When adding multiple objects, we still have to add 10% and the other 90% of the images to the "test" and "train" directories, right? If so, does it matter, when say adding 3 objects, that there is 10% of the images of each object? Or does it not matter, which objects are in which folder? Thanks for the videos, I hope my question is clear.

simonmak
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bro upload the marks folder so we can follow along with you, the process of labeling takes so much time i'm lazy!

aymennacer
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Please make a video on tensorflow object detection api with tensorflow 2.2 from scratch...

mandarxsalvi