Remove Calculations from the IOU and eSign it in minutes

Aug 6th, 2022
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How to Remove Calculations from the IOU

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hello and welcome to this excel tips video Im so mad pencil and in this video Im going to show you how to quickly remove the formulas from Excel but keep the data so here I have the data for these companies I have the revenue number expense and I have the net income value which is calculated by subtracting expense from revenue if you have a look at the formula it is this L minus this and thats the same case for all these now what I want to do is remove the formula but still keep the net income value and its really easy you simply select this entire data set you copy this then right click and go to paste special and here in the paste special dialog box you have the value option as soon as you click on value and click OK it is going to paste the values only and the formula would go away so now when I click OK see what happens now when I select this cell you can see that the formula bar only shows the value and not the formula because the formula has gone let me also show you another

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IoU-guided NMS is a type of non-maximum suppression that help to eliminate the suppression failure caused by the misleading classification confidences. This is achieved through using the predicted IoU instead of the classification confidence as the ranking keyword for bounding boxes.
Intersection over Union calculation example Area of Overlap: 5 * 5 = 25; Area of Union: Area of the Red Bounding Box + Area of the Green Bounding Box - Area of Overlap = 10 10 + 10 10 - 25 = 175. IoU: Area of Overlap / Area of Union = 25 / 175 ~ 0.14 - poor IoU.
Intersection Over Union (IoU) is a number that quantifies the degree of overlap between two boxes. In the case of object detection and segmentation, IoU evaluates the overlap of the Ground Truth and Prediction region.
Youre calculating the area of the intersection of the two boxes. And dividing by the area of the union of the two boxes. Well, go look at the Jaccard index (IoU) formula. The correct Jaccard Index formula is: iou = intersectionarea / (unionarea - intersectionarea) .
Simply put, the IoU is the area of overlap between the predicted segmentation and the ground truth divided by the area of union between the predicted segmentation and the ground truth, as shown on the image to the left.
The IoU can have any value between 0 and 1. If two boxes do not intersect, the IoU is 0. On the other hand, if they completely overlap, the intersection and the union areas are equal. So, in that case, the IoU is 1.
Note: 0.5 IoU is typically considered a good score, while 1 is perfect in theory.
Intersection Over Union (IoU) is a number that quantifies the degree of overlap between two boxes. In the case of object detection and segmentation, IoU evaluates the overlap of the Ground Truth and Prediction region.

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