create negative_py about cnn_face_detection

[hqq1990]

Dear Anson： Thank you so much for your reply. haha, i also found that problem after i checked the entire code, and i have solved it. If i still met some problem in the future, i hope i can sent email to you for your help. Sincerely Yours. Hong 2018-06-11 4:48 GMT+09:00 Anson Yu <[email protected]>:

…

Hi Hong, I think the problem is wrong indentation compared to the code microhua pasted. The code with the line starting from read_img_name should be indented to the right. for current_image in range((current_neg_dir - 1)*300, (current_neg_dir - 1)*300 + 300): # take 300 images if current_image > (number_of_pictures - 1): break if current_image % 100 == 0: print "Processing image number " + str(current_image) read_img_name = data_base_dir + '/' + file_list[current_image].strip() img = cv2.imread(read_img_name) # read image height, width, channels = img.shape crop_size = min(height, width) / 2 # start from half of shorter side while crop_size >= 12: for start_height in range(0, height, 100): if (start_height + crop_size) > height: break for start_width in range(0, width, 100): if (start_width + crop_size) > width: break cropped_img = img[start_height : start_height + int(crop_size), start_width : start_width + int(crop_size)] — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#35 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AZJ2TBbTfUJcJkU_Q26icwlBO1yF4qK-ks5t7Xf8gaJpZM4M2nK2> .

[anson0910]

Hi,
Sorry, the script is indeed kind of messy!
I think you can try modifying line 51 to exit(0) instead of break

[reza320]

thanks for your quick reply I sent you the error in appendix if you cant read it changing the break to exit(0) didn't work

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On Fri, Apr 7, 2017 at 9:06 PM, Anson Yu ***@***.***> wrote: Hi, Sorry, the script is indeed kind of messy! I think you can try modifying line 51 to exit(0) instead of break — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#35 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AZbyMlAzItAWXsZZEuQgtIXhbi4pdelhks5rtmYHgaJpZM4M2nK2> .

[anson0910]

Try adding print(number_of_pictures) on next line of line 14,
what does it print?

[reza320]

sorry, I should have changed the line ends with jpeg to jpg. now another error occures

[microhua]

I have added some lines in the code, is it OK?

 for current_image in range((current_neg_dir - 1)*300, (current_neg_dir - 1)*300 + 300):    # take 300 images
        if current_image > (number_of_pictures - 1):
            break
        if current_image % 100 == 0:
            print "Processing image number " + str(current_image)
        read_img_name = data_base_dir + '/' + file_list[current_image].strip()
        img = cv2.imread(read_img_name)     # read image
        height, width, channels = img.shape

        crop_size = min(height, width) / 2  # start from half of shorter side

        while crop_size >= 12:
            for start_height in range(0, height, 100):
                if (start_height + crop_size) > height:
                    break
                for start_width in range(0, width, 100):
                    if (start_width + crop_size) > width:
                        break
                    cropped_img = img[start_height : start_height + int(crop_size), start_width : start_width + int(crop_size)]

[anson0910]

Yes, this should work!

[hqq1990]

Hello, i'm also a beginner.
When i tried to modify the codes as you discuss.
It still said:"IndexError: list index out of range".

plz help me, thank you.

[anson0910]

Hi Hong,

I think the problem is wrong indentation compared to the code microhua pasted.
The code with the line starting from read_img_name should be indented to the right.

for current_image in range((current_neg_dir - 1)*300, (current_neg_dir - 1)*300 + 300):    # take 300 images
        if current_image > (number_of_pictures - 1):
            break
        if current_image % 100 == 0:
            print "Processing image number " + str(current_image)
        read_img_name = data_base_dir + '/' + file_list[current_image].strip()
        img = cv2.imread(read_img_name)     # read image
        height, width, channels = img.shape

        crop_size = min(height, width) / 2  # start from half of shorter side

        while crop_size >= 12:
            for start_height in range(0, height, 100):
                if (start_height + crop_size) > height:
                    break
                for start_width in range(0, width, 100):
                    if (start_width + crop_size) > width:
                        break
                    cropped_img = img[start_height : start_height + int(crop_size), start_width : start_width + int(crop_size)]