Calculating the F score of Object Detection of Mask RCNN
I am using Detectron2 Mask RCNN for an object detection problem. The images consist of cells that are very close to each other. I can not use mAP as a performance measure since the …
Detectron2 Alteranatives - Data Science Stack Exchange
Oct 13, 2020 · Detectron2 is really good and it supports large number of models / but not all. Eg. Yolo. Do we have alternative to detectron2 which provide easy to use API for both model …
How can I get testing accuracy using tensorboard for Detectron2?
I'm learning to use Detecron2. I've followed this link to create a custom object detector. My training code - # training Detectron2 from detectron2.engine import DefaultTrainer from …
Is there a way to set different confidence thresholds for different ...
May 28, 2022 · Some are more complicated objects. My problem is that I am getting a lot of False Positives for the simple classes, because anything that looks loke a line gets classified. I am …
How to convert horizontal bounding box coordinates to oriented …
Nov 16, 2021 · Then I found another library named detectron2 that is built on the pytorch framework. Built-in faster rcnn network in detectron2 is actually compatible with OBB but I …
Creating a custom dataset for object detection
Mar 1, 2020 · Train in Detectron2 / pyTorch I have 2 questions: Given that the environment is somewhat consistent throughout all samples, is there a ballpark number / rule of thumb for a …
ModuleNotFoundError: No module named 'deeplab' [closed]
Dec 3, 2020 · I am trying to run Tensorflows DeepLab using my own dataset, while following: heaversm tutorial on GitHub/Youtube. P.S I am running Windows. I want to run the …
Algorithms to do a CTRL+F (find object) on an image
Nov 18, 2021 · Detectron2 Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation algorithms. It is the successor of …
classification - Jupyter, Python: the kernel appears to have died …
May 7, 2021 · I am training my model on almost 200 000 images, i'm using Jupyter and now after 3 days of training ( i used 800 epochs and batch-size = 600) I have this " the kernel appears to …
Should I use GPU or CPU for inference?
I'm running a deep learning neural network that has been trained by a GPU. I now want to deploy this to multiple hosts for inference. The question is what are the conditions to decide whether I …