I wish there was a middle ground between what Android/Pixel camera saves as raw, and the in-camera JPEG. Sometimes I have a few quibbles with the JPEG and what I'd like to do is edit the raw file, but starting from something close to the JPEG. Unfortunately what you get as a starting point from raw is hideous, and it's never clear how to begin. I don't think I've ever got an acceptable result trying to edit raw photos from my Pixel.
Start by adjusting the black levels and the exposure. This is where the histogram can help to visualize how much you are adjusting (if you have one). As the exposure goes up, you can adjust the highlights to recover some of the areas trying to blow out. As you pull the black level down, you can recover some of the details getting crushed using with the shadows adjustment. You can then adjust the contrast/saturation/warmth/tint as needed. The order of adjustments in the iOS Photos editor pretty much follow that order.
In other words, you want either your camera app to select the initial tweaks for you to be able continue in the external editor (not going to happen, RAW editing software is incompatible by design), or your editing software to select the initial tweaks that "look good" (that depends on your software). In RAW mode, Google Camera's output is photometrically correct, even if it stacks multiple frames or denoises it. Which is the only way to do it that makes sense, any other RAW camera app or actual dedicated camera does this the same way.
That's exactly what I'm talking about, how do you imagine that working? Metadata is not compatible by design, because processing pipelines are all subtly different and your result will always look different in your editor. Trying to match some basic parameters with the JPEG is possible and some RAW software can do that, but the result is going to be subtly different for the same reason.
Search over all values of all parameters and choose the ones the minimise the mean square error of pixel values.
Obviously that will be slow, so probably do some kind of gradient descent, or perhaps depending on what the parameters are there may be a closed-form solution, I don't know.
Yes the result will be subtly different but it's just a starting point.
I've never had to write such software but in my imagination there is the sensor data, potentially from several exposures, and some static data about the camera, and a list of edits and parameters that the photo app is using to produce the in-camera JPEG. And I just want a way to intervene in that list of edits and parameters to produce my own result. There must be SOME way to do this otherwise how do I edit raws from my real camera? The starting point for camera raw in my photo editor always looks great if the file came from my camera, and always looks ghastly if it came from my mobile.
For Android, you can sort of get some of this with Snapseed. I occasionally use it, and it's "ok". I'm more frustrated by the fact that my preferred RAW editor (DxO) doesn't handle Android's DNG files. For me, at least, editing raw images on a phone screen is just not tolerable.
That's because hybrids aren't designed to do so. The battery is small in terms of both energy and power. Sometimes, if the car is initially pointed the right way, you could complete a very short downhill trip at low speeds without the engine starting. But hybrids are designed to run the engine often. The batteries are sized to capture approximately the kinetic energy of the moving vehicle when stopping, and discharge the same energy when starting to move again, and that's it. It's a great system, they all get 45+ MPG.
It is true. most are much worse at being EVs than the toyota prime models. Toyotas were the top of the euro data on real world EV-only use. Every other manufacturer ranges from worse to hilariously worse. Toyotas are not over half of sales, so therefore "most" applies.
You're making this outlandish claim so it is on you to name any currently or recently-marketed PHEV that can't reach highway speeds in EV mode, and to demonstrate that this constitutes "most" of the market or installed base.
the link to the underlying most recent fraunhofer study referred to by the first two seems broken sadly, so i cant get the breakdown by manufacturer anymore. But the data on aggregate is clear - on average the PHEVs cars out there today spend very little time on average in pure EV mode. If they did there would be more than ~20% reduction in emissions.
You are not addressing the claim that PHEVs can't reach highway speeds on batteries. That is a ridiculous claim, and it is false. You will not be able to name even one PHEV on the market with this limitation, because they do not exist.
its acceleration that causes them to drop out of EV mode, when the weak EV drives cant produce enough power. Can you accelerate all the way to highway speed in real world driving without it dropping out? for some yes, for many no, from the guardian article:
"Even when the cars were driven in electric mode, the analysis found that levels of pollution were well above official estimates. The researchers said this was because electric motors were not strong enough to operate alone, with their engines burning fossil fuels for almost one-third of the distance travelled in electric mode."
The manufacturers dont list this admittedly complicated crossover, so you cant say whether one does or doesnt from a spec sheet. The aggregate data is clear though.
Here’s an even better source, which makes it absolutely clear that their electric engines are too weak in the real world.
“In practice, the combustion engine frequently assists the electric motor in CD mode, especially during acceleration, at higher speeds or uphill driving. On average, the ICE supplies power during almost one third of the distance driven in CD mode. This is largely due to insufficient e-motor power, as most PHEVs are not designed to operate fully electrically under typical real-world conditions.”
“
The largest gap between WLTP and real-world PHEV emissions occurs in CD mode, often
referred to as an “electric” mode where real-world CD emissions are even higher than the
WLTP average. According to T&E analysis, real-world CO₂ emissions in CD mode average
around 68 gCO₂/km, which is nearly nine times as high as the estimated 8 gCO₂/km in CD mode
under the WL TP methodology, and almost twice the WL TP average overall emissions (including
both electric and combustion modes). In practice, the combustion engine frequently assists the
electric motor in CD mode, especially during acceleration, at higher speeds or uphill driving. On
average, the ICE supplies power during almost one third of the distance driven in CD mode. This
is largely due to insufficient e-motor power, as most PHEVs are not designed to operate fully
electrically under typical real-world conditions.
This relationship is illustrated by the correlation between e-motor-to-combustion-engine power
ratio and emissions in CD mode: vehicles with an average power ratio between electric motor
and combustion engine of 0.9, emit approximately 45 gCO2/km in CD mode. An average PHEV
with a ratio of 0.7 has emissions of around 68 gCO2/km. Vehicles in the lower decile in terms of
their ratio of electric motor to combustion engine power, where it drops to around 0.5, have
average CD mode emissions of 105 gCO2/km.
In real-world conditions, petrol PHEVs consume around 3 L/100km in electric mode.
“
Sure, that's the obvious downside of them. But in the role where they spend ~10h slowly charging overnight from a standard plug, about 25-45 miles is all you'd expect to enjoy in a steady state.
I had a PHEV Honda and I put 20 gallons of fuel in it over 6 years. The system works in the niche for which it was designed.
"Remember the time Apple fixed iOS so the iPhone would run instead of crashing under low voltage conditions" remains, to me, the most inexplicable of HN's mass psychoses.
Remember that they did it secretly and denied it for ages, only to backtrack and use this excuse when it was actually proven they were slowing the devices.
Dont let the marketing spin white-wash your long term memory of an event.
It looks like the airstrip is attached to the servants' mansion. In parts of the video you an see the aircraft overflying the main house. It's the Temu Versailles.
Being able and willing to talk to strangers unlocks the eventuality that you will one day start chatting with a person who also does that and it will be like the small talk singularity. Once a man approached me and complemented my bicycle, and I engaged with him, and since we were both waiting at the same breakfast counter without anyone else, we sat down at a table and had breakfast together, and an hour later I could have counted him as a friend. Uncommon, but exhilarating possibility.
Happened to me out on a group training run five years ago. She and I are now engaged and will be getting married in July.
When I still had a personal Reddit account, I would be on the dating and relationship subs and promote the idea to do something every week where you see the same people. even better do two or three such things every week. That's what I did, and I quickly went from zero local friends to dozens.
The gym is a fine place to do that but only if you're doing classes where there's an expectation that people will be socializing. I made some of my best friends in such gym classes including my current best friend. She indirectly introduced me to my fiancé because she suggested I join a running club to train.
Interesting. I've always wondered how other platforms do this. The only one I have studied is ChromeOS. Believe it or not, ChromeOS uses an online learning model to learn the user's preferred transfer function from ambient light to display brightness.
All versions and levels of Gemini have terrible spatial reasoning. I don't know why. That kind of task seems to be simply outside of the abilities of the model.
I use to worry about this but the industry claims about 1 per 20 million accidental discharge per year, which over the lifespan of a home works out to be 10-1000x less than other common hazards (including fire).
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