I am trying to run object detection with faster_rcnn_resnet50_coco but it’s giving an error. My computer is Windows 10. My TensorFlow version is 2.4.1 and my python version is 3.8.5 The code I want to run is : python D:/models/research/object_detection/model_main.py –model_dir=D:/tooth-detection/models/treatment/model –pipeline_config_path=D:/tooth-detection/models/treatment/faster_rcnn_resnet50_coco.config –num_train_steps=100000 –alsologtostderr How can I fix the problem? The error is : (base) ..
I am trying to use AlignDlib for my face detection program. I have imported it from align. When I try to run the program, I am getting this type of errors. Although I have installed align package previously. It will be very helpful if someone let me know how to resolve this error. Thank you. ..
When I run this line on anaconda prompt = python export_inference_graph.py –input_type image_tensor –pipeline_config_path training/ssd_mobilenet_v1_pets.config –trained_checkpoint_prefix training/model.ckpt-7747 –output_directory new_graph This error occurs= Original stack trace for ‘save/RestoreV2’: File "export_inference_graph.py", line 206, in <module> tf.app.run() File "/tensorflow-1.15.2/python3.7/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/python3.7/dist-packages/absl/app.py", line 303, in run _run_main(main, args) File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 251, ..
I want to get a (.weights) file for my custom dataset. I have labeled the images and I zipped the images and text files together. When I fed the images and text file to the code. It is not giving the weight file and it is not even giving the error too. I even changed ..
I have trained a YOLO V3 model on a custom dataset for small sized objects that are close by. But during detection, I get multiple predictions for a same object in roughly the same position. In my application, getting the correct number of objects per image is important. I tried increasing the threshold, but it ..
I’m currently doing some research to detect and locate a text-cursor (you know, the blinking rectangle shape that indicates the character position when you type on your computer) from a screen-record video. To do that, I’ve trained YOLOv4 model with custom object dataset (I took a reference from here) and planning to also implement DeepSORT ..
I want to train FairMOT https://github.com/ifzhang/FairMOT and I have this error, Traceback is this. Traceback (most recent call last): File "train.py", line 98, in <module> main(opt) File "train.py", line 69, in main log_dict_train, _ = trainer.train(epoch, train_loader) File "/home/sonic/sw/FairMOT/src/lib/trains/base_trainer.py", line 119, in train return self.run_epoch(‘train’, epoch, data_loader) File "/home/sonic/sw/FairMOT/src/lib/trains/base_trainer.py", line 62, in run_epoch for iter_id, ..
This here is my code and I’m getting the error message on line thickness and I don’t know what to do now! please help me!! cap.release() ![Text]https://i.stack.imgur.com/BcRni.png Source: Python..
I am trying to run YOLOv4 on a live video after perspective transform. I am using a webcam to capture a live video and I perform Perspective Transform on it using this tutorial to get an output video. Now I want to run YOLO object detection on this output/transformed video. How can I do this? ..
I am working on an object detector using Tensorflow Object Detection API whereby I downloaded a model from the model zoo repository, specifically ssd_mobilenet_v2_fpnlite_640x640_coco17_tpu-8 to train my custom dataset on which contains 2500 images split into 70:30 training and testing ratio. I have edited the pipeline.config file accordingly following a tutorial, where I added the ..