CODEWITHSUNDEEP
pythontensorflowobject-detectiondetectionyolov4
nutter kab
nutter kab

Reputation: 21

I want to save Each detection of Yolo or tensorflow is stored in an array variable for further use

I want to store each detection value and combine it into an array to save it to excel. I want to apped sa_mask to add all detection values ​​to save_mask variable, but I tried apped and got only the last detected value. It doesn't store all values. enter image description here

if FLAGS.count:
# count objects found
    counted_classes = count_objects(pred_bbox, by_class = True)
# loop through dict and print
    sa_counted = np.array(counted_classes)
    print(sa_counted)
        
for key, value in counted_classes.items():
    print("Number of {}s: {}".format(key, value))

    sa_mask = ("{}  {}".format(key, value))
    save_mask = []
    save_mask.apped(sa_mask)

Upvotes: 2

Views: 729

Answers (1)

MoroccanTea
MoroccanTea

Reputation: 93

You're simply not storing the values and adding them together, so each time the loop is entered, it just keeps overwriting the previous results...

I'll try simplifying this as much as possible :

# DATA
sa_counted1 = {"Surgical": 5, "KN95": 2, "Cloth": 1}
sa_counted2 = {"Surgical": 10, "KN95": 7, "Cloth": 3}
sa_counted3 = {"Surgical": 15, "KN95": 12, "Cloth": 5}

# WHERE THE RESULT WILL BE STORED
counted_classes = {}

# ADDING THE VALUES OF THE DICTIONARIES TOGETHER
for sa_counted in [sa_counted1, sa_counted2, sa_counted3]:
    for key, value in sa_counted.items():
        if key in counted_classes:
            counted_classes[key] += value
        else:
            counted_classes[key] = value

# PRINT THE RESULT
for key, value in counted_classes.items():
    print("Number of {}s: {}".format(key, value))

I hope this was helpful.

Upvotes: 1

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