57 karma · joined January 30, 2018
str.trim().split(" ").map(hex => String.fromCharCode("0x" + hex)).join()
seems to give the answer.Can you please share the reason behind why it should be this way ?
1. So based on my understanding, engine speed sensor readings are sent to the TCU which in turn regulates the solenoids(There might be other sensors as well but for my question, I think they aren't that important). So in order for your modification to work, you have to get these CAN frames, understand the reading, regulate your 6 speed auto gearbox and then create a CAN frame that would imitate the sensors of the 4 speed auto gearbox(to basically tell the TCU that the gearbox has been regulated correctly). You can in principle neglect the actuator commands that are sent by the TCU to the solenoids since you are regulating it on your own. However, in order to do this, you have to understand the CAN frames being used and also the protocol used(address based or message based). How did you figure this out ? Or is my understanding wrong here ?
2. Did you use FreeRTOS for your STM32F407 component ?
I really appreciate you taking the time to answer the questions :)
Firstly, Congratulations. This is no trivial accomplishment. Here are the questions I have.
1. Normally, cars come with their own ECUs for the engine. Interfacing with them requires knowledge about the underlying firmware used afaik. Did you happen to reverse engineer the firmware so that you could interface your own electronics with the provided ECU ?
2. How did you make the car believe that your 6 speed automatic transmission was a 4 speed automatic ?
3. > "the ability to go ahead and change the way it works whenever I want." - Could you please elaborate what you mean by this ?
Again, I am amazed by what you have accomplished. My inner mechanical engineer is so keen to know how this all came together. I think everyone would definitely appreciate if you could provide a rough overview of how you achieved these things. Thank you :)
I wish you and your family a happy Christmas :)
Is it possible to combine these methods in a straight forward manner with methods that try to reduce the space complexity? For example, Lottery ticket hypothesis(https://arxiv.org/abs/1803.03635) seems to reduce spacial complexity(Please do correct me if I am wrong).
Also, based on my rather poor and limited knowledge, it appears to me that set of proposed methods that reduced space complexity and set of proposed methods that reduce time complexity are disjoint. Is that the case ?
Good day,
I was wondering whether it is be possible for you to provide an overview of different methods that you think might have a better shot at replacing backpropagation algorithm?
On the personal side, here is an hug(or a professional equivalent if you prefer that) to you stranger. I hope you have a great day.
Also, Honestly, I thought reflections would be negligible when we are dealing with mA and 0-5V ranges. But your reply makes me think that there is more to it
Finally, thank you for your reply. I gonna come back to this answer in the future when I have a lab setup that is more than a solder and some screwdrivers :)
Your work sounds really interesing to me.
I am wondering about the reasons for these issues that you mentioned. Could you please mention them here ? It might serve as a nice pointer to do better hardware design debugging I believe(I have close to zero experience in this. Hence the interest).
Also, are there any formal systems that verify your TTL-level designs ?
Thank you.
If the hiking trails are accessible enough, you should have a look at SLAM technique. SLAM allows you to create smooth and rough approximate map of the environment through which you navigate your camera. Colorization of this map could be done by a GAN(might be an interesting side project).
I am adding some pointers below :
1. https://www.doc.ic.ac.uk/~ajd/ - Prof. Davison and his group's work is impressive in this area. 2. https://vision.in.tum.de/research/vslam - Prof. Cremers group have some SOTA algorithms in this area.
P.S: You don't need a heavy setup for this. A single or a stereo camera should do the job.
I had trouble with url redirection. So I checked and found this method
var onTalkClick = function(url, vhost, vid, rindex) {
gtag('event', 'view_item', {
'event_category': vhost,
'event_label': vid,
'value': rindex,
'transport_type': 'beacon',
'event_callback': function(){document.location = url;}
});
return false;
}
This method doesn't seem to be working as intended on firefox.https://github.com/ExpDev07/coronavirus-tracker-api/blob/370...
I followed the breadcrums from here btw:
https://github.com/sagarkarira/coronavirus-tracker-cli/blob/...
If you like Beethoven, you should check this out : https://www.digitalconcerthall.com/de/concert/52428
Truly amazing especially the 2nd part(Molto vivace).
Thank you for these pointers. I read through the article and I couldn't find the distinction that you made. Maybe I missed it. Could you please help me see where it appears ?
I am curious to know if this distinction exists in literature. I, for one, am not familiar with this distinction. There are different market segments to which people belong as in any other country and their proportion may vary starkly compared to well-developed countries for example. But the distinction you are making is very new to me.
Awesome work. Something similar to what I did, though for semantic segmentation.
A small suggestion: From what I understand, you have hard-coded the Fast-RCNN predictor.
self._model.roi_heads.box_predictor = FastRCNNPredictor(in_features, len(classes) + 1)
Having the ability to plugin users' own models would be better, I believe. This would translate to making the model class more abstract.Well done!
Does one need to understand compiler technology fully to get into this field? I have been trying to get a grip over MLIR and GLOW source code but have failed miserably so far. Could you please give me some pointers which would help me in this regard ? Thanks
1. The rendering quality of pages is quite low. (Like an image with salt and pepper noise). 2. I used ipleak.net to check the IP which points to some provider(presumably you or Aws/Cloudfare/Asure etc.,). So how do you manage illegal usage ? 3. How do you deal with browser history and cookies(why should I trust this) ? 4. Do you happen to the have the source code for this made available ?
Sorry about the barrage of questions. I just got excited a bit :)