YOLOv4 Object Detection with TensorFlow, TFLite and TensorRT | Windows, Linux | Image, Video, Webcam

hi sir is it the same for all yolo versions ? i want to convert my yolov7 model to TensorRt and thank you

I CAN NOT SEE YOUR SCREEM

Me pude servir lo de convertir a TF hub

where is tensorRT?

I am getting Internal: failed to get device attribute 13 for device 0

Sir I have problem
tf.__internal__.register_load_context_function(in_load_context)
AttributeError: module 'tensorflow.compat.v2.__internal__' has no attribute 'register_load_context_function'

HELP PLISS SIR!
W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found

Can i run these in google collabs?

ive used custom yolo model and converted it to tf. The center point of prediction is correct but the bounding box isnt proper. Box being made is half the size of object. Any suggestions on that?

hello Sir, may i ask how to change the bonding box color in tflite. ie i want to specify different color for different target object.. such as green for human...white for animals.. if possible may i request a video for this question 🙏🏻

Sir, why do I have no prediction frame when I detect video? My computer is 3060 graphics card

Thank you for the good tutorial! can we use this code in CUDA 11.2 or higher versions??

experimental_enable_resource_variables, how can I set this to True?

Sir, You have given an awesome introduction about object detection using tensor flow and android devices. Can we use the same tflite model file for Arduino and Resperry pi ? How can we run these file on these low power devices specially arduino.

I am getting this error can someone tell me what is wrong in this

ValueError: Dimension 1 in both shapes must be equal, but are 256 and 512. Shapes are [?,256,26] and [?,512,26]. for '{{node concat_6}} = ConcatV2[N=2, T=DT_FLOAT, Tidx=DT_INT32](LeakyRelu_7, ResizeBilinear, concat_6/axis)' with input shapes: [?,256,26,2], [?,512,26,8], [] and with computed input tensors: input[2] = <-1>.

Thank you for the amazing video sir. i was able to make a tflite from yolov4.weights but whenever i try to make with Yolov4-Tiny version, i got an error like this

conv_weights = conv_weights.reshape(conv_shape).transpose([2, 3, 1, 0])
ValueError: cannot reshape array of size 372388 into shape (256,256,3,3)

Could you tell me how can i solve this problem?

how about yolo5 case ? is it possible?

Sir, You have given a awesome introduction about object detection using tensor flow and android devices. Can we use the same for Jetson Nano also.

Awesome Video

Maybe a video on converting models to tflite where tflite usually generates a 1kb file

I was succesfull convert it too tflite but the size still big right?..
Do u have github for drploy it to android?