Quite recently we renew the experience (click here to see the last one), it was even more wonderful because we spotted killer whales and humpbacks.
This time the arctic explorers brought us to Skjervøy where the whales were hanging out. Enough blabla! I leave you with the little video (it’s not much, but I had to cut a lot of the videos to make an acceptable small film)
What a pity, being stuck in Tromsø for a few more days. My flight was canceled due to bad weather conditions (wind, snow and visibility) so I must stay a little longer there. My schedule: remote working and skiing 😀
Even though it was pretty cold outside (-15°C), we bravely 😉 chased northern lights yesterday evening. I just finish processing the data and update my playlist on youtube. Enjoy 🙂
For those who want to have some details about the acquisition and processing, here they are.
The pictures used for this sequence are acquired with a gopro hero 4 black on the settings night time lapse:
– exposure time: 5s
– continuous acquisition
– 12 MP and wide FOV
– spot metter: OFF
– white balance: 5500K
– color: gopro
– ISO: 800
– sharpness: low
– Exposure bias Value: 0.0
– focal length: 3 mm
– aperture: f/2.8
Then I used ffmpeg to denoise with the owdenoise filter, here is the command:
ffmpeg -i input.jpg -vf owdenoise=depth=10:ls=10.0 -y output.jpg
Finally, the pictures are concatenated to form a video, also with ffmpeg:
ffmpeg -framerate 4 -pattern_type glob -i ‘*.jpg’ -pix_fmt yuv420p -c:v libx264 output.mp4
which create a 3 frame per second (fps) video that is converted into a 30 fps:
ffmpeg -i input_fps4.mp4 -q:v 0 -pix_fmt yuv420p -r 30 -y output_fps30.mp4
Today I will upload the photos freshly taken. It was a bright, sunny day, so we decided to wake up early (not too early because daylight is coming pretty late nowadays) and walk in our neighborhood before heading to the docks.
I can’t wait to show you the pics 🙂
GoPro Hero4 Black, aperture: f/2.8, exposure time (auto): 1/5 s, ISO: 100, focal length: 15.0 (35mm film), 3.0 (lens). No post processing apart from the downsampling using the default settings of imagej run(“Size…”, “width=2000 height=1500 average when downsizing=true”)
Hi folks, I’m working on the photos and films I recently did, so it will take a little more time before the next page is coming up. Here is a random photo I took today, so that you can wait 🙂
GoPro Hero4 Black: exposure time 1/3 s, iso 200, focal length 3.0 mm, aperture f/2.8. Processing: denoising based on wavelet (ffmpeg -i in.jpg -vf owdenoise=depth=10:ls=1.0 -y out.jpg), downsampling 1:2 (gaussian blur with sigma=1.0, and decimation by 2) and contrast enhancement using imagej.
Hey everyone, happy new year! I wish you the best, and all the usual stuffs… I’m sorry, I’m not really good at this exercise. Anyways, I will soon add pictures of the period from Xmas till new year. Here is a little preview of what happened yesterday. Fireworks were everywhere in Tromsø it’s just amazing 😀
The photo: taken with a GoPro Hero 4 on the night mode time lapse with auto contrast, and I run a simple post-processing using ffmpeg (yes, it works also with pictures :-)) for denoising based on wavelets (probably Haar). Here is the command: ffmpeg -i input.jpg -vf owdenoise=depth=10:ls=10.0 -y outpout_d10_ls10.jpg
A few weeks ago, I spent some time at Guilherand-Grange in Ardèche, France at a friend’s and we decided to go for a little ride. I took my GoPro for the first time on a bike and now I share it with you 🙂 That’s the first time I am processing a video, so please be kind, the quality is not yet optimal (especially because I was recording using the chest harness). Anyway, here it is: