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It is not completely clear from the code how the `bias_shift` and `out_shift` are computed for each quantized layer for https://github.com/ARM-software/CMSIS_5/blob/f8c5612872b2c021de2a011b63b4f51f613…
maelp updated
3 years ago
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I have compared the _icc-profile=_ setting of **mpv** to Apple’s native **QuickTime Player X** on OS X 10.9.1 and found that the resulting colors are basically correct, but the image is too dark.
The…
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Hi,
I had the best results on my dataset so far doing PCA and then product quantization.
Does faiss implement something else that can help even further achieve better compression?
thank you
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Dear authors of Iterdet,
Thanks for the extensive README's, this has been helpful.
I had a question concerning saving a quantized model to torchscript for mobile deployment, is this possible?
…
rh-ia updated
3 years ago
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Hi, I use reconstruct() to get a vector from index, I get the right answer with indexFlatL2 and indexIVFFlat, but with indexIVFPQ, the vector I got is not the same as before when I put same index. How…
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Hi again Jean-Romain,
When I attempt to run a `las_check()` on a `LAScatalog` with parallelization using `future` package :
```r
library(lidR)
library(future)
plan(multisession)
ctg
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Hello since the name of the project means `buttock` in French, could you rename the project because I feel offended :trollface:
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## 📸 코드
```python
import faiss
from sklearn.feature_extraction.text import TfidfVectorizer
from tqdm.auto import tqdm
import pandas as pd
import pickle
import json
import os
import numpy as np
fr…
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Let's say I trained a product quantizer withou creating an index.
pq = faiss.ProductQuantizer(d, cs, 8)
pq.train(xt)
Now I want to compress a random vector v_quantized = pq.compute_code(v) an…
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**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): **Linux Ubuntu 16.04**
- TensorFlow installed from (source or binary): **tf-nightly installed through pip**
- Tenso…