On Thu, Aug 20, 2020, 12:24 PM Disha Sinha ***@***.***> wrote: ***@***.**** requested changes on this pull request. ------------------------------ In Image-Processing/Image_filters_using_convolution/3D_convolve.py <#165 (comment)> : > +'''b_kernel = np.array([0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11]).reshape(3,3) +r_kernel = np.array([0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11]).reshape(3,3) +g_kernel = np.array([0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11 , 0.11]).reshape(3,3) +''' +print("Enter 9 values for each of the streams") +b_kernel = np.array(list(map(int, input("Enter the kernel to be applied to the blue stream").split()))).reshape(3,3) +r_kernel = np.array(list(map(int, input("Enter the kernel to be applied to the red stream").split()))).reshape(3,3) +g_kernel = np.array(list(map(int, input("Enter the kernel to be applied to the green stream").split()))).reshape(3,3) + +#Image is read and resized + +img = cv2.imread('path to image') +img = cv2.resize(img, (width , height)) + +#The pixels are extracted from the image +pixels = [] Insert a new line before for loop ------------------------------ In Image-Processing/Image_filters_using_convolution/3D_convolve.py <#165 (comment)> : > + g = [] + r = [] + + for i in pixels: + b.append(i[0]) + g.append(i[1]) + r.append(i[2]) + +#Each of the streams are resized +r = np.array(r).reshape(height, width) +b = np.array(b).reshape(height, width) +g = np.array(g).reshape(height, width) + +#function to apply convolution or multiply kernels +def convolute(arr , height , width ,kernel): + convoluted_matrix = [] Insert new line before for loop ------------------------------ In Image-Processing/Image_filters_using_convolution/3D_convolve.py <#165 (comment)> : > + +width = width - 3 +height = height - 3 + +combine = np.zeros([height, width, 3], dtype=np.uint8) + +for i in range(height): + for j in range(width): + combine[i ,j] = [int(r_convol[i][j]) , int(g_convol[i][j]) , int(b_convol[i][j])] + + +#The 3 matrices or streams are combined, and stored +img = Image.fromarray(combine) +img.save('Funkyfilter.jpg') + + Remove new lines at the end ------------------------------ In Image-Processing/Image_filters_using_convolution/3D_convolve.py <#165 (comment)> : > + convoluted_matrix = (np.array(convoluted_matrix).reshape(height-3,width-3)) + return(convoluted_matrix) + +r_convol = convolute(r, height, width, r_kernel) +g_convol = convolute(g, height, width, g_kernel) +b_convol = convolute(b, height, width, b_kernel) + + +width = width - 3 +height = height - 3 + +combine = np.zeros([height, width, 3], dtype=np.uint8) + +for i in range(height): + for j in range(width): + combine[i ,j] = [int(r_convol[i][j]) , int(g_convol[i][j]) , int(b_convol[i][j])] Remove space before comma and put space after comma ------------------------------ In Image-Processing/Image_filters_using_convolution/3D_convolve.py <#165 (comment)> : > + +#Each of the streams are resized +r = np.array(r).reshape(height, width) +b = np.array(b).reshape(height, width) +g = np.array(g).reshape(height, width) + +#function to apply convolution or multiply kernels +def convolute(arr , height , width ,kernel): + convoluted_matrix = [] + for i in range(1,height-2): + for j in range(1,width-2): + temp = arr[i:i+3 , j:j+3] + prod = np.multiply(temp,kernel) + convoluted_matrix.append(np.sum(prod)) + + convoluted_matrix = (np.array(convoluted_matrix).reshape(height-3,width-3)) Put space after comma ------------------------------ In Image-Processing/Image_filters_using_convolution/3D_convolve.py <#165 (comment)> : > + for i in pixels: + b.append(i[0]) + g.append(i[1]) + r.append(i[2]) + +#Each of the streams are resized +r = np.array(r).reshape(height, width) +b = np.array(b).reshape(height, width) +g = np.array(g).reshape(height, width) + +#function to apply convolution or multiply kernels +def convolute(arr , height , width ,kernel): + convoluted_matrix = [] + for i in range(1,height-2): + for j in range(1,width-2): + temp = arr[i:i+3 , j:j+3] Remove space before comma and put space after comma ------------------------------ In Image-Processing/Image_filters_using_convolution/3D_convolve.py <#165 (comment)> : > + b.append(i[0]) + g.append(i[1]) + r.append(i[2]) + +#Each of the streams are resized +r = np.array(r).reshape(height, width) +b = np.array(b).reshape(height, width) +g = np.array(g).reshape(height, width) + +#function to apply convolution or multiply kernels +def convolute(arr , height , width ,kernel): + convoluted_matrix = [] + for i in range(1,height-2): + for j in range(1,width-2): + temp = arr[i:i+3 , j:j+3] + prod = np.multiply(temp,kernel) put space after comma ------------------------------ In Image-Processing/Image_filters_using_convolution/3D_convolve.py <#165 (comment)> : > + r = [] + + for i in pixels: + b.append(i[0]) + g.append(i[1]) + r.append(i[2]) + +#Each of the streams are resized +r = np.array(r).reshape(height, width) +b = np.array(b).reshape(height, width) +g = np.array(g).reshape(height, width) + +#function to apply convolution or multiply kernels +def convolute(arr , height , width ,kernel): + convoluted_matrix = [] + for i in range(1,height-2): Put space after comma — You are receiving this because you authored the thread. 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On Fri, Sep 4, 2020, 9:42 PM Ankit Dobhal ***@***.***> wrote: I would want to know if I can submit scripts that I have written using the PyGame module and raise an issue for the same Great work @Namyalg <https://github.com/Namyalg> ! You can submit scripts written using pygame by raising new issue. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#165 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AM3BEYOORXGU5Y5AHWHCHN3SEEGWNANCNFSM4QDWIJUQ> .