Author Topic: Thermal Imaging Gallery II (Read 57661 times)

bostwickenator · « **Reply #75 on:** February 01, 2020, 03:40:56 am »

It was stitched with Photoshop using the File > Automate > Photomerge flow.

Conure · « **Reply #76 on:** February 03, 2020, 03:55:56 pm »

TE-Q1

Food

A ghost? Or a heat shadow.

alex871 · « **Reply #77 on:** February 05, 2020, 10:48:12 pm »

Ht-301 video montage. pity that youtube compresses the videos too much, the original is much better

RBsonic · « **Reply #78 on:** February 12, 2020, 05:30:06 pm »

Subject: Ice water. All palletes
Camera: HT-301
Lens: 13mm

https://youtu.be/SFOn1joRf90

Conure · « **Reply #79 on:** February 20, 2020, 09:00:08 pm »

Te-Q1
Cat outdoors on an mostly wet overcast day.

https://www.youtube.com/watch?v=cl3LFwo63JA&feature=youtu.be

Bud · « **Reply #80 on:** February 22, 2020, 05:21:29 am »

A soldering station.
Source: the liberated Flir E4
2x resizing with Waifu

Ultrapurple · « **Reply #81 on:** February 22, 2020, 10:21:04 am »

Lovely image!

Bill W · « **Reply #82 on:** March 11, 2020, 06:01:08 pm »

Daytime street view

Camera sensor: ULIS Pico 384
Lens: 19mm f/1.3
Original resolution: 320x240 single shot image

Raw 16 bit data image converted to bmp in Image J
Mild Photoshopping for noise, gamma and upscaling.

Ultrapurple · « **Reply #83 on:** March 12, 2020, 12:00:43 pm »

Seek Reveal Pro FF (340x240, >15Hz)

Images resized in Waifu2X, no other processing.

BUMERANG · « **Reply #84 on:** March 17, 2020, 08:39:25 am »

Thermal Expert Q1 Plus:

IwuzBornanerd · « **Reply #85 on:** March 17, 2020, 09:00:32 pm »

Aha! A noisy image from a TE. Thank you for showing its limits. Judging by the colors, though, it looks like the range of temperatures in the image is less than the 2C range shown on the scale. Maybe about 2/3 of the scale for 1.3C?

jumpy9734 · « **Reply #86 on:** April 11, 2020, 07:14:54 pm »

Seek Thermal Compact : 206 x 156 Thermal Sensor, 36° Field of View, < 9 Hz Frame Rate, Focusable Lens (2017 version)

I've used SeekOFix this time, image quality is better than on the android app and it's possible to see finer details.

Someone walking the dog (about 50 yards distance)

People, dogs, kids (on the left side)

freem · « **Reply #87 on:** April 14, 2020, 02:08:41 am »

Bud · « **Reply #88 on:** April 18, 2020, 06:18:44 am »

Yaesu Ham rig.

Source: the liberated E4

Bud · « **Reply #89 on:** April 21, 2020, 06:19:25 am »

Commodore 64 board

Source: the liberated E4
2x resize with Waifu
Palette adjustment with ImageJ

zrq · « **Reply #90 on:** April 24, 2020, 03:41:16 am »

Target: Raspberry Pi 3B and a SDR dongle (as ADSB receiver)
Camera: XTherm T3s (like HT-301)

The second image is processed by applying EDVR algorithm (x4) (https://github.com/open-mmlab/mmsr) using official pretrained model on Vimeo-90K dataset and a registration of 30 output frames upscaled by Lanczos interpolation (x2) and aligned with LK optical flow.

zrq · « **Reply #91 on:** April 24, 2020, 03:45:18 am »

Visible image of the target in the last reply for reference.

zrq · « **Reply #92 on:** April 24, 2020, 04:33:09 pm »

Somewhere in China
Camera: Xtherm T3s
Included 1. raw image, 2. EDVR processed image (using pretrained model on Vimeo90K), 3. PFNL processed image (published pretrained model)
The EDVR frame is manually picked from various output frames of a video input (converted to a stack of pngs with ffmpeg). Some frames contain serious artifact where there are high frequency compoents (~2 px/cy).
PFNL don't have this problem.

Bud · « **Reply #93 on:** April 28, 2020, 03:52:09 am »

An opossum hiding in the night under the roof of a garden shed.

Source: the liberated E4.

NiallxD · « **Reply #94 on:** May 03, 2020, 08:31:01 pm »

Here's a pano taken from a bedroom window.

Seek Compact Pro FF.
iPhone 11 Pro.
Stitched with ICE.
Processed in Affinity Photo

I hope to do more once I'm allowed out.

Vipitis · « **Reply #95 on:** May 05, 2020, 08:33:15 am »

I have wanted to do this for a while and here are my first useable results.

Cactus in stacks.

This image was taken with a MIRICLE 110K-35 and a 32mm f/1 lens. I recorded a short video clip of a focus pull and than exported 70 individual frames. Using Zerene Stacker I aligned all images and stacked them for focus. I adjusted curves and added some color with Paint.NET.

The results are very interesting, especially given the very shallow dof this sized sensor gives on a f/1 lens, while this kind of stacking gives me focus, I also want to explore stacking for less noise and more resolution, but I will keep looking.

attached is the final result and one input image so you can see how much more there is.

ArsenioDev · « **Reply #96 on:** May 24, 2020, 06:13:14 pm »

I've got a 30HZ 640*480 FLIR TAU2 on loan for a bit, took some INCREDIBLE photos of stuff around the house. First up is internal shot of my main rig, USB3 expansion card over my GTX1070, second is a FX6100 based testbench running Prime95 to heat soak, note the emissivity of the CPU cooler messes with temperature reads, and the Asus badge is shiny. Third up, I had to do the self-portrait.

Edit: Zero processing done on ANY of these, straight from camera captures here!

Seriously this thing is INCREDIBLE and I really want one of my own.

Ultrapurple · « **Reply #97 on:** June 01, 2020, 12:53:24 pm »

Quote from: Bud on April 21, 2020, 06:19:25 am

Commodore 64 board

Source: the liberated E4
2x resize with Waifu
Palette adjustment with ImageJ

That ... is ... stunning!

Bud · « **Reply #98 on:** June 09, 2020, 07:38:51 pm »

Through-steel-door thermal imaging.

Ultrapurple · « **Reply #99 on:** June 10, 2020, 07:51:24 am »

Quote from: Bud on Yesterday at 07:38:51 pm

Through-steel-door thermal imaging.

Yeah, that new-generation MSX is really good!

They should patent it quickly!

And see, he's got one of those expensive thermal imaging video recorders strapped to his arm.


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Author Topic: Thermal Imaging Gallery II (Read 57661 times)

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