Portenta vision shield sd card data stroing

hi, everyone i trained a model for image classification and it worked well on openmv using portenta h7 with portenta vision shield, i wanted to store the labels in a text file in the sd card but it is showing me the error.

import sensor, image, time, os, tf

sensor.reset()                         # Reset and initialize the sensor.
sensor.set_pixformat(sensor.GRAYSCALE) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA)      # Set frame size to QVGA (320x240)
sensor.set_windowing((240, 240))       # Set 240x240 window.
sensor.skip_frames(time=2000)          # Let the camera adjust.

net = "trained.tflite"
labels = [line.rstrip('\n') for line in open("labels.txt")]

# Open a file in write mode to store the predicted labels
with open('/sd/predictions.txt', 'w') as f:
    f.write("Predicted Labels:\n")

clock = time.clock()

    img = sensor.snapshot()

    # default settings just do one detection... change them to search the image...
    for obj in tf.classify(net, img, min_scale=1.0, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5):
        print("**********\nPredictions at [x=%d,y=%d,w=%d,h=%d]" % obj.rect())
        # This combines the labels and confidence values into a list of tuples
        predictions_list = list(zip(labels, obj.output()))

        for i in range(len(predictions_list)):
            confidence = predictions_list[i][1]
            label = predictions_list[i][0]
            print("%s = %f" % (label, confidence))

            # Write the predicted label to the file if the confidence is above 0.9 and the label is not "unknown"
            if confidence > 0.9 and label != "unknown":
                with open('/sd/predictions.txt', 'a') as f:  
                    f.write(label + "\n")

                print("It's a", label, "!")

    print(clock.fps(), "fps")

but it giving me the OSError: [Errno 2] ENOENT at " with open(‘/sd/predictions.txt’, ‘a’) as f: " this line.

Hi, when the SD card is inserted it replaces the default flash. it’s not mounted under a folder called /sd/ like on regular MicroPython.

thanks, sir, I figured it out by creating a folder in an sd card by the name of sd and it worked that way.