stillfrenzy.blogg.se

1. CONSTRUCT 2 VS CLICKTEAM FUSION 2.5 HOW TO
2. CONSTRUCT 2 VS CLICKTEAM FUSION 2.5 FULL
3. CONSTRUCT 2 VS CLICKTEAM FUSION 2.5 SOFTWARE
4. CONSTRUCT 2 VS CLICKTEAM FUSION 2.5 CODE

MFA files created in Fusion 2.5 and not compatible with MMF2.Įxporter installations for MMF2 will require new ones for Fusion 2.5.

CONSTRUCT 2 VS CLICKTEAM FUSION 2.5 SOFTWARE

The software will automatically create a backup when opening MMF2-based MFA files for the first time. Read Francois’ feature list post on the forums Read Yves’ notes about the product on the forums InterfaceĪs with Multimedia Fusion 2, the editor is split up into various interfaces, used in order to modify different aspects of applications or games. Storyboard Editor - For modifying frames and their fade transitions. Toolbars - A customizable dockable interface throughout the program.ĭata Elements - For modifying samples, binary data and external files used in a application.Įvent Editor - For defining the logic of the program, through actions, conditions and events.įrame Editor - For modifying the objects, extensions and appearance of a frame.

CONSTRUCT 2 VS CLICKTEAM FUSION 2.5 CODE

Let me tell you an embarrassing story of how I wasted three weeks of research time during graduate school six years ago.Ĭlick here to download the source code to this post It was the end of my second semester of coursework. I had taken all of my exams early and all my projects for the semester had been submitted. Since my school obligations were essentially nil, I started experimenting with (automatically) identifying prescription pills in images, something I know a thing or two about (but back then I was just getting started with my research).Īt the time, my research goal was to find and identify methods to reliably quantify pills in a rotation invariant manner. I was able to extract features from my dataset of pills, index them, and then identify my test set of pills regardless of how they were oriented… Regardless of how the pill was rotated, I wanted the output feature vector to be (approximately) the same (the feature vectors will never be to completely identical in a real-world application due to lighting conditions, camera sensors, floating point errors, etc.).Īfter the first week I was making fantastic progress. Was I not matching the features correctly? Was there a flaw in the logic of my feature extraction algorithm? My method was only working with round, circular pills - I was getting completely nonsensical results for oblong pills. While I might have been ashamed to admit this as a graduate student, the problem was the latter: Or was it something else entirely… like a problem with my image preprocessing. It turns out that during the image preprocessing phase, I was rotating my images incorrectly. Since round pills have are approximately square in their aspect ratio, the rotation bug wasn’t a problem for them.

CONSTRUCT 2 VS CLICKTEAM FUSION 2.5 FULL

Here you can see a round pill being rotated a full 360 degrees without an issue: Figure 1: Rotating a circular pill doesn’t reveal any obvious problems.īut for oblong pills, they would be “cut off” in the rotation process, like this: Figure 2: However, rotating oblong pills using the OpenCV’s standard cv2.getRotationMatrix2D and cv2.warpAffine functions caused me some problems that weren’t immediately obvious.

In essence, I was only quantifying part of the rotated, oblong pills hence my strange results. I spent three weeks and part of my Christmas vacation banging my head against the wall trying to diagnose the bug - only to feel quite embarrassed when I realized it was due to me being negligent with the cv2.rotate function. How did I accomplish this and squash the bug for good? You see, the size of the output image needs to be adjusted, otherwise, the corners of my image would be cut off.

CONSTRUCT 2 VS CLICKTEAM FUSION 2.5 HOW TO

To learn how to rotate images with OpenCV such that the entire image is included and none of the image is cut off, just keep reading.

Looking for the source code to this post? Jump Right To The Downloads Section Rotate images (correctly) with OpenCV and Python In the remainder of this blog post I’ll discuss common issues that you may run into when rotating images with OpenCV and Python. To make sure we all understand this rotation issue with OpenCV and Python I will: Specifically, we’ll be examining the problem of what happens when the corners of an image are “cut off” during the rotation process.

Start with a simple example demonstrating the rotation problem. Provide a rotation function that ensures images are not cut off in the rotation process. # construct the argument parse and parse the argumentsĪp.add_argument("-i", "-image", required=True, Open up a new file, name it rotate_simple.py, and insert the following code: # import the necessary packages Let’s get this blog post started with an example script.ĭiscuss how I resolved my pill identification issue using this method. BG CHANNEL OFFSET.X CLICKTEAM FUSION 2.5 HOW TOīG CHANNEL OFFSET.X CLICKTEAM FUSION 2.5 FULLīG CHANNEL OFFSET.X CLICKTEAM FUSION 2.5 CODEīG CHANNEL OFFSET.X CLICKTEAM FUSION 2.5 DOWNLOAD