Faster-RCNN is a very common Regional Convolutional Neural Network architecture that detects and recognizes objects in images in a single forward pass
Questions tagged [faster-rcnn]
332 questions
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Can someone give me an explanation for Multibox loss function?
I have found some expression for SSD Multibox-loss function as follows:
multibox_loss = confidence_loss + alpha * location_loss
Can someone explains what are the explanations for those terms?

Mcstang94
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What kind of image is used for training in Mask RCNN( only 8 bit or 16 bit images or any depth)?
I have a small doubt regarding the MaskRCNN images for training purpose. Is MRCNN is taking only 8 bit images for training? if its taking any 16 bit or 32 bit images, How it will help us by training?
Usually the visualization happens for 8 bit…

Anju Kaimal
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What is the difference between mAP from Mask R-CNN utils.py and mAP from (MS)COCO?
I trained my Mask R-CNN Network with my own data, which i transformed into COCO Style for my Thesis and now i want to evaluate my results. I found two methods to do that. One method is the evaluation from COCO itself. Mask R-CNN itself shows how to…

Mob
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How Region proposal network works in Faster R-CNN?
I try to understand how anchor boxes coordinate generated from feature map, and i have some questions about this process.
1-) From above image, feature map size is N x M x C and sliding windows is chosen as 3x3. What is the mission of this 3x3…

Bedrick Kiq
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How to learn a hidden model variable (task variance) in tensorflow that has no ground truth data
I am working with a faster-rcnn type of system where automated focal loss was recently implemented from https://arxiv.org/pdf/1904.09048.pdf
In the above-linked paper in section 3.4. Regression it states
We assume that the labels are distributed…

Alex
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The confidence level of tensorflow object detection API
I am working on performing object detection via tensorflow, and I am facing problems that the object etection is not very accurate. The architecture I am using is faster_rcnn_resnet_101.
More specifically, the question I want to address is as…

luelue
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What is the type of CNN that is used in Keras for image classification?
I have a CNN architecture that I train to recognize some objects that I need to eventually use in real time and then use the output of detected objects for further work. I have two questions regarding this that I need to have answered to evaluate…

ibrahim.bond
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Where is faster_rcnn_resnet101 (like where are the layers) defined in tensorflow
I am really new to machine learning and I am currently using Tensorflow Object Detection API to perform object detection, and the model I use is faster_rcnn_resnet101.
What I am looking for is the python code that defined the architecture, such as…

luelue
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Why does ssd and yolo has no roi pooling layer?
We know that the object detection framework like faster-rcnn and mask-rcnn has an roi pooling layer or roi align layer. But why ssd and yolo framework has no such layers?

tidy
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What's the external algorithm used for hypothesis generation in Fast R-CNN and SPP-net?
I understood that we need selective search as an external algorithm for generating region of interest proposals in R-CNN, but in Fast R-CNN we can simply take in the entire image, and then passes it to the convolutional network to create a feature…

Anu
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building 'pycocotools._mask' extension error: unknown file type '.pyx' (from 'pycocotools/_mask.pyx')
when I run the tf-faster-rcnn following its introductions, I get the following error when I run make under the path ../tf-faster-rcnn/data/coco/PythonAPI/:
python setup.py build_ext --inplace
running build_ext
building 'pycocotools._mask'…

dwqy11
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Is there a way to change the backbone of Detectron2 keypoint detection model with custom object detection model?
I am working on a task where I have to detect people and do activity recognition. I am using **Detectron2 **Keypoint detection model.There are many False negatives with the detection. So my solution to reduce the FN's is to train the custom…

sp0800
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Error in checkpoint.py in Tensorflow2 on custom dataset using pre-built FRCNN model
I am using TF2 for teeth classification using panoramic X-ray images. The images have been reduced to 640x640 and the annotations scaled accordingly.
The original image looks like this:
The test run went successful, confirming that the installation…

seekme_94
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Mask RCNN Keras custom image dimensions
I am trying to follow the example provided by https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html#configure-the-training-pipeline to train the faster_rcnn_resnet50_v1_640x640_coco17_tpu-8 model on images sized…

Timothy Tuti
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Mask RCNN error - ValueError: shapes (5,1048576) and (3136,1) not aligned: 1048576 (dim 1) != 3136 (dim 0) after removing use_mini_mask
image_id = random.choice(dataset.image_ids)
print(image_id)
image, image_meta, gt_class_id, gt_bbox, gt_mask = modellib.load_image_gt(dataset,
config, image_id)
info = dataset.image_info[image_id]
print("image ID: {}.{} ({})…

cide12
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