Replace Calculations from the IOU and eSign it in minutes

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

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hello its eric with master tool repair uh today heres a short video on how to uh identify and find a replacement capacitor a start and a run capacitor for your electric motor for your compressor uh here are two very popular types of capacitors we have a start capacitor on the left and a run capacitor on the right typically itll state on the capacitor if it is start or run in this case you see right here for motors starting so its pretty clear what you want to look for are three basic uh specifications on your capacitor to find a replacement always use your make and model number and find your original part number and directly replace it with an oem replacement if you can so you always want to use a manufacturer direct replacement if you can again you can look your model up on our website or simply contact the manufacturer if youre not sure but sometimes these capacitors are not listed on the breakdown for the compressor a lot of times a manufacturer will use different brands of mot

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The Intersection-Over-Union (IoU), also known as the Jaccard Index, is one of the most commonly used metrics in semantic segmentation and for good reason. The IoU is a very straightforward metric thats extremely effective.
If IoU threshold = 0.5 then precision is 83.33%. ( 5 out of 6 are considered correct) If IoU threshold = 0.2 then precision is 100%. (
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.
Alternatives to IoU Average Precision (AP) or mean Average Precision (mAP) are common alternatives, both of which are used to evaluate models such as Faster RCNN, Mask RCNN, and YOLO. AP is calculated for every single class, meaning the number of classes and AP values should be equal.
Intersection over Union (IoU) is used when calculating mAP. It is a number from 0 to 1 that specifies the amount of overlap between the predicted and ground truth bounding box. an IoU of 0 means that there is no overlap between the 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 used when calculating mAP. It is a number from 0 to 1 that specifies the amount of overlap between the predicted and ground truth bounding box. IoU is an important accuracy measure to track when gathering human annotations.
Recall is basically the rate of recognizing the specified class (lets consider a single class problem) and Accuracy is the rate of missing the specified class (well, the opposite). IoU basically takes both measures into account, how come this IoU rate is that low compared to the above? Thank you.

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