Edward Lance Lorilla |
- 【VISUAL VB.NET】Add and Remove Programs
- 【JAVASCRIPT】 native component math operations component
- 【PYTHON OPENCV】Understanding cv2.dnn.blobFromImages() and cv2.dnn.imagesFromBlob() in OpenCV with cropping
- 【GAMEMAKER】boomerang
- 【GAMEMAKER】Saving
| 【VISUAL VB.NET】Add and Remove Programs Posted: 30 Apr 2021 02:54 AM PDT Public Class Form1 Dim fileArgs As String Dim path As String = "C:\Windows\System32\" Dim cmdProcess As Process = New Process() Private Sub Button1_Click(sender As Object, e As EventArgs) Handles Button1.Click fileArgs = "shell32.dll,Control_RunDLL appwiz.cpl,,0" cmdProcess.StartInfo.Arguments = fileArgs cmdProcess.StartInfo.WorkingDirectory = path cmdProcess.StartInfo.FileName = "RunDll32.exe" cmdProcess.Start() cmdProcess.WaitForExit() Me.Show() End SubEnd Class  |
| 【JAVASCRIPT】 native component math operations component Posted: 29 Apr 2021 08:37 PM PDT  |
| Posted: 29 Apr 2021 08:50 AM PDT """ Understanding cv2.dnn.blobFromImages() and cv2.dnn.imagesFromBlob() in OpenCV with cropping """ # Import required packages:import cv2import numpy as npfrom matplotlib import pyplot as plt def get_cropped_img(img): """Returns the cropped image""" # Create a copy of the image: img_copy = img.copy() # calculate size of resulting image: size = min(img_copy.shape[1], img_copy.shape[0]) # calculate x1, and y1 x1 = int(0.5 * (img_copy.shape[1] - size)) y1 = int(0.5 * (img_copy.shape[0] - size)) # crop and return the image return img_copy[y1:(y1 + size), x1:(x1 + size)] def show_img_with_matplotlib(color_img, title, pos): """Shows an image using matplotlib capabilities""" img_RGB = color_img[:, :, ::-1] ax = plt.subplot(2, 2, pos) plt.imshow(img_RGB) plt.title(title) plt.axis('off') def get_images_from_blob(blob_imgs, scalefactor, dim, mean, swap_rb, mean_added): """Returns images from blob""" images_from_blob = cv2.dnn.imagesFromBlob(blob_imgs) imgs = [] for image_blob in images_from_blob: image_from_blob = np.reshape(image_blob, dim) / scalefactor image_from_blob_mean = np.uint8(image_from_blob) image_from_blob = image_from_blob_mean + np.uint8(mean) if mean_added is True: if swap_rb: image_from_blob = image_from_blob[:, :, ::-1] imgs.append(image_from_blob) else: if swap_rb: image_from_blob_mean = image_from_blob_mean[:, :, ::-1] imgs.append(image_from_blob_mean) return imgs # Load images and get the list of images:image = cv2.imread("face_test.png")image2 = cv2.imread("face_test2.jpg")images = [image, image2] # To see how cropping works, we are going to perform the cropping formulation that# both blobFromImage() and blobFromImages() perform applying it to one of the input images:cropped_img = get_cropped_img(image)# cv2.imwrite("cropped_img.jpg", cropped_img) # Call cv2.dnn.blobFromImages():blob_images = cv2.dnn.blobFromImages(images, 1.0, (300, 300), [104., 117., 123.], False, False)blob_blob_images_cropped = cv2.dnn.blobFromImages(images, 1.0, (300, 300), [104., 117., 123.], False, True) # Get different images from the blob:imgs_from_blob = get_images_from_blob(blob_images, 1.0, (300, 300, 3), [104., 117., 123.], False, True)imgs_from_blob_cropped = get_images_from_blob(blob_blob_images_cropped, 1.0, (300, 300, 3), [104., 117., 123.], False,True) # Create the dimensions of the figure and set title:fig = plt.figure(figsize=(10, 8))plt.suptitle("cv2.dnn.blobFromImages() visualization with cropping", fontsize=14, fontweight='bold')fig.patch.set_facecolor('silver') # Show the input imagesshow_img_with_matplotlib(imgs_from_blob[0], "img 1 from blob " + str(imgs_from_blob[0].shape), 1)show_img_with_matplotlib(imgs_from_blob[1], "img 2 from blob " + str(imgs_from_blob[1].shape), 2)show_img_with_matplotlib(imgs_from_blob_cropped[0], "img 1 from blob cropped " + str(imgs_from_blob[1].shape), 3)show_img_with_matplotlib(imgs_from_blob_cropped[1], "img 2 from blob cropped " + str(imgs_from_blob[1].shape), 4) # Show the Figure:plt.show()  |
| Posted: 29 Apr 2021 08:48 AM PDT Information about object: objPlayer Sprite: sprPlayer Solid: false Visible: true Depth: 0 Persistent: false Parent: Children: Mask: No Physics Object Create Event: execute code: Facing_Direction=0; Step Event: execute code: if keyboard_check(vk_space) && instance_number(objBoomerang)=0 { instance_create(x,y,objBoomerang); } hspeed=0; vspeed=0; if keyboard_check(vk_left) then {hspeed=-4; Facing_Direction=180;} if keyboard_check(vk_right) then {hspeed=4; Facing_Direction=0;} if keyboard_check(vk_up) then vspeed=-4; if keyboard_check(vk_down) then vspeed=4; Information about object: objBoomerang Sprite: sprBoomerang Solid: false Visible: true Depth: 0 Persistent: false Parent: Children: Mask: No Physics Object Create Event: execute code: Catch=false; if objPlayer.Facing_Direction=0 { hspeed=5; vspeed=5; } else { hspeed=-5; vspeed=-5; } Step Event: execute code: if place_meeting(x,y,objPlayer)=false and Catch=false then Catch=true; if (direction>=point_direction(x,y,objPlayer.x,objPlayer.y)-4 && direction<=point_direction(x,y,objPlayer.x,objPlayer.y)+4) { direction=point_direction(x,y,objPlayer.x,objPlayer.y); } else { direction+=4; } if direction>360 then direction=4; Collision Event with object objPlayer: execute code: if Catch=true then instance_destroy(); Other Event: Intersect Boundary: bounce not precisely against solid objects Information about object: objMonster Sprite: sprMonster Solid: false Visible: true Depth: 0 Persistent: false Parent: Children: Mask: No Physics Object Collision Event with object objBoomerang: execute code: instance_destroy();  |
| Posted: 29 Apr 2021 08:44 AM PDT Information about object: obj_splash Sprite: Solid: false Visible: true Depth: 0 Persistent: false Parent: Children: Mask: No Physics Object
Create Event: execute code: Information about object: obj_button  |
| You are subscribed to email updates from Edward Lance Lorilla. To stop receiving these emails, you may unsubscribe now. | Email delivery powered by Google |
| Google, 1600 Amphitheatre Parkway, Mountain View, CA 94043, United States | |
No comments:
Post a Comment