As Michael said, Mission Planner looks for the EXIF tags (0xA002, 0xA003, Image_Width, and Image_height), but the picture you sent did not contain these tags. It instead has Jpeg tags, but MP does not use those tags.
I just installed the new firmware for the SIYI A8 gimbal and camera. It solved a number of bugs, but still does not store the pixel height and width in EXIF. (it does however finally create the geolocation tags in the EXIF)
Bet you could easily write a script or command line tool (in any number of languages) to inject the correct EXIF size values. Not a great solution. But probably a right now one. ImageMagick under Linux comes to mind as a possibility.
I have a file of several thousand text strings with an associated ID number. I want to take each distinct text string and make it a JPG image of the text, and have the file named with the associated ID number.
I don't believe that is possible with Irfanview - though I have not used that program much. There is a list here of the commandline options to Irfanview, and there is no mention I can see of label, text or annotate.
Hey all I am writing a script that uses IrfanView to display a number of images. However, I can't seem to control IrfanVideo when it is in full screen mode. The problem is that the full screen window that Irfanview opens is not selectable.
That starts the program in full screen mode with a slideshow (the crosslist.txt bit at the end). But, when I then try and select the window and press space to proceed to the next image in the slideshow with the code below, it seems to select another Irfanview window.
I understand that I need to specify the window to select, but the full screen window in this case does not seem to be selectable. According to the Autoit Window Info and UISpy, it does not exist: the only thing that exists is the Irfanview window behind it. But if I activate that window, it kicks the program out of full screen mode and ends the slideshow.
Finally, we come to one of the most important options in the Image Size dialog box, Resample Image. Remember at the beginning of this tutorial when I said that the difference between resizing and resampling an image is controlled by nothing more than a single checkbox option? This is it! This is the option that determines whether we're resizing our image or resampling it. Again, resizing keeps the pixel dimensions (the number of pixels in the image) the same and simply changes the size at which the image will print, while resampling physically changes the number of pixels in the image. By default, the Resample Image option is checked, which means that the Image Size dialog box is now essentially the Image Resample dialog box, even though it still just says "Image Size" at the top.
Resize in IrfanView simply removes pixels to make image smaller and duplicates pixels to make the image larger. If you select "Resample" every pixel of the new image is calculated. Pixels are interpolated with the selected filtering method, which takes time but the result is smoother.
Every program and writer seem to use terms resize and resample in different way. Some say that resize affects only to metadata where the wanted printing size is told but it doesn't affect pixel dimensions. Others say that resizing is done by changing the pixel dimensions. That's also logical if we assume there's already stated how many pixels there should be per inch or centimeter. IrfanView's resize is in Photoshop considered as a method to make resampling. In PS Image resizing affects only to metadata if option Resample is OFF.
Lets assume you have in IrfanView an image 1000 x 1000 pixels and the image is 10 cm wide and high. If you want to keep the pixel dimensions but the image size (in metadata) must be reduced to 5 cm x 5 cm you give the new size in centimeters but double the number of pixels per inch (=DPI in IrfanView). Or you simply let the old pixel dimensions stay as is but double the DPI. In Photoshop you should only give the new size in centimeters and disable resampling.
Your question title "How resize without changing Resolution?" is ambiguous. There are numerous people who use the same words when they have say a 2000 px wide photo which looks sharp on the screen and they want to enlarge it say to 10000 px wide to be able to get a 1...2 meter wide sharp looking print. They have often already noticed that IrfanView or Photoshop can easily resample the pixel dimensions to 500% but the result is hopelessly blurry although in numbers the resolution as pixels per inch is increased. The blurriness comes from the cold fact that there's no more image information.
This problem needs special image enlargening software which guess where in the image there's sharp edges or thin details and do not make them wider. They do not create missing detail, but the result in big size will be as sharp as the original in screen size. If that's also your problem try for ex. Smilla enlargener. It's free. There are numerous commercial products, too. I have tested ON1 resize which works but costs money. Search for alternatives and run trials.
I thank the friends who are anxious to help me in the sense of find out why the Serial my lenses do not appear the Exif.
After a more thorough search, I found that the serial lens is inserted manually in the camera settings, however my EOS - 5D Mark II, does not offer this function and do not know if have any further update (firmaVer) I'm using version 2.0. 9.
I don't think Canon DSLRs record the lens serial number. In fact, the AFMA adjustment doesn't even distinguish between lenses with the same model number. The lens model number is entered by hand, for AFMA.
I had a series of images of the same dimensions and wanted to crop all of them with the same bounds. Eyeballing the original crop and approximating the same on the rest of the images was out of the question, since the crops had to match to the very last pixel.
I tried to note down the crop parameters and redo the same on the rest of the images. When a crop rectangle is drawn on the image, its parameters can be seen on the Irfanview titlebar. The first 2 numbers are the coordinates of the origin (top left) and the next two numbers are the dimensions of the crop rectangle.
For her 8th grade science fair project, my daughter decided to examine the effect of changing tree canopy on the amount of solar energy reaching the ground. Shewants to compare pyranometer (solar irradiance) data in an open area against data taken in a wooded area withdeciduous trees. Starting in the fall, the amount of sunlight decreases rapidly with the approachof winter, but the trees lose their leaves at the same time. Does this mean that theamount of sunlight will actually increase in the wooded area?
I suggested that she regularly take digital pictures from the pyranometer site, straight upthrough the canopy, using the widest field of view available on the camera. This gives a visual record of leaf cover, but how can she convert this to a quantitative value? Thesolution is to convert the image to a black-and-white bitmap image and count the black andwhite pixels.
I use the freeware IrfanView photo editing program on my computer, and one of its image manipulation options is to produce a two-color black-and-white image. For the purposes ofmy daughter's project, it is not terribly important how the software makes a "black or white"decision for a particular pixel, but only that it does it consistently. Also, I used an optionto resize the image, which will force the software to do some pixel averaging. Again, itis only consistency that is important. My digital camera saves images in .jpg format, but you can save the image from IrfanView in a number of other formats, including .bmp.
The next step is to write a program that will process the .bmp image. Here is an explanation of the .bmp file format.Basically, there are some "header" records that give information about the file and image,followed by the image itself. When IrfanView saves the image in a two-color file, theimage part of the file holds 8 pixels per byte -- that is, a pixel is either "on" (white)or "off" black. Note that atwo-color image is much smaller than the original image because it requires onlyone bit (1/8 byte) per pixel instead of as many as 24 bits (3 bytes) per pixel (for "24-bit color").
To make the programming easier, I required that the resized file have a width (in pixels)that is evenly divisible by 8. I chose to resize images to 504 pixels wide -- by default,IrfanView resizes the height of the image to keep the same image shape. This is a reasonablesize for images displayed directly on a Web page without additional resizing. A full-color image from 15 October, 2005, resized to 504 pixels wide, is shown below next to the derived black and white image. The leaves havenot yet started to change color and drop from the trees. Analysis of the black and white versionof this image yields values of about68% "canopy" and 32% "sky."
I wrote the program bitmap.c in standard C (with Microsoft's very old but still reliable MS-DOS QuickCcompiler), using the simplest approach I could think of. Eachbyte is read as a single character and converted to an "unsigned integer" asrequired. Larger integer values, such as the size of the file in bytes, are extracted "manually"by interpreting individual bytes rather than trying to declare a variable type that occupiesthe required number of bytes. I reasoned that the latter option might work differently with differentC compilers and might therefore give unreliable results. By processing the file onebyte at a time, using a char data type, and knowing which values are located where in the file, I can keep controlover the interpretation of the file contents. A separate function is written to extract the "on/off" pixel information from each byte in the image. Here is the source code for the C program.
The program asks you to enter the name of the file and then displays some properties ofthe file. You have the option to process part or all of a file. If you process theentire file, the program displays the number of black and white pixels, and the percentageof each. Shown below issome of the program's output for the 15 October image shown above.
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