object-detection

问题 I am trying to compute a confusion matrix for my object detection model. However I seem to stumble across some pitfalls. My current approach is to compare each predicted box with each groundtruth box. If they have a IoU > some threshold, I insert the predictions into the confusion matrix. After the insertion I delete the element in the predictions list and move on to the next element. Because I also want the misclassified proposals to be inserted in the confusion matrix, I treat the elements

问题 I am trying to compute a confusion matrix for my object detection model. However I seem to stumble across some pitfalls. My current approach is to compare each predicted box with each groundtruth box. If they have a IoU > some threshold, I insert the predictions into the confusion matrix. After the insertion I delete the element in the predictions list and move on to the next element. Because I also want the misclassified proposals to be inserted in the confusion matrix, I treat the elements

问题 Trying to implement a custom object detection model with Tensorflow Lite, using Android Studio. I am following the guidance provided here: Running on mobile with TensorFlow Lite, however with no success. The example model runs properly showing all the detected labels. Nonetheless, when I try with my custom model I am not getting any labels at all. I have also tried with other models(from the internet but the outcome is the same). It is like that the labels are not being passed with the write

问题 Trying to implement a custom object detection model with Tensorflow Lite, using Android Studio. I am following the guidance provided here: Running on mobile with TensorFlow Lite, however with no success. The example model runs properly showing all the detected labels. Nonetheless, when I try with my custom model I am not getting any labels at all. I have also tried with other models(from the internet but the outcome is the same). It is like that the labels are not being passed with the write

问题 I'm wondering how to format the executeAsync tensorflow object detection executeAsync methods output so it look liks this: My current output looks like this and is impossible to read just by browsing through: I have been browsing through the coco-ssd.js, but for some reason it is written terribly. https://cdn.jsdelivr.net/npm/@tensorflow-models/coco-ssd of course this needs to be beautified, but after that, there is almost not a single variable called by its name, its basically the all

问题 I'm wondering how to format the executeAsync tensorflow object detection executeAsync methods output so it look liks this: My current output looks like this and is impossible to read just by browsing through: I have been browsing through the coco-ssd.js, but for some reason it is written terribly. https://cdn.jsdelivr.net/npm/@tensorflow-models/coco-ssd of course this needs to be beautified, but after that, there is almost not a single variable called by its name, its basically the all

问题 I am trying to understand the .cfg file of YOLOv2. I didn't understand steps=-1,100,80000,100000 scales=.1,10,.1,.1 Can someone explain me this. 回答1: steps is a checkpoints (number of iterations) at which scales will be applied. scales is a coefficients at which learning_rate will be multiplied at this checkpoints. Determines how the learning_rate will be changed during increasing number of iterations during training. Both of them are related to each other and they have the same amount. steps

问题 I'm working on a research project where I need to estimate in real time the 6DOF pose of objects in a pick and place tasks. The pose must be estimate in real time, and the objects can be one on top of the other and identical, so I have to get the position and the orientation of the object on the top. The problem is that the objects are same ( PPVC blocks, in the construction field) but good thing is that they are with quite regular shape. So how to compare the known 3D CAD model in a single

问题 I'm working on a research project where I need to estimate in real time the 6DOF pose of objects in a pick and place tasks. The pose must be estimate in real time, and the objects can be one on top of the other and identical, so I have to get the position and the orientation of the object on the top. The problem is that the objects are same ( PPVC blocks, in the construction field) but good thing is that they are with quite regular shape. So how to compare the known 3D CAD model in a single

问题 I'v been trying to do quadrangle detection and localization for weeks, my goal is to have a robust way of getting the 4 points of an quadrangle(rectangle), so I can apply projective transform to an Image then attach it to the source image. I have try the classic opencv contour method, and also using hough transform to find lines then calculate intersections, those two methods is unusable when apply it to real life images. So I turn to CNN for help, but currently i haven't find any one try to