Fix benchmark links

Author: hombit

light-curve/README.md

@@ -609,22 +609,22 @@ Here we benchmark the Rust implementation (`rust`) versus [`feets`](https://feet
 package and
 our own Python implementation (`lc_py`) for a light curve having n=1000 observations.
 
-![Benchmarks, Rust is much faster](https://github.com/light-curve/light-curve-python/raw/readme-benchs/light-curve/.readme/benchplot_v2.png)
+![Benchmarks, Rust is much faster](https://github.com/light-curve/light-curve-python/raw/master/light-curve/.readme/benchplot_v2.png)
 
 The plot shows that the Rust implementation of the package outperforms other ones by a factor of 1.5—50.
 This allows to extract a large set of "cheap" features well under one ms for n=1000.
 The performance of parametric fits (`BazinFit` and `VillarFit`) and `Periodogram` depend on their parameters,
 but the
 typical timescale of feature extraction including these features is 20—50 ms for few hundred observations.
 
-![Benchmark for different number of observations](https://github.com/light-curve/light-curve-python/raw/readme-benchs/light-curve/.readme/nobs_bench_v2.png)
+![Benchmark for different number of observations](https://github.com/light-curve/light-curve-python/raw/master/light-curve/.readme/nobs_bench_v2.png)
 
 Benchmark results of several features for both the pure-Python and Rust implementations of the "light-curve"
 package, as
 a function of the number of observations in a light curve. Both the x-axis and y-axis are on a logarithmic
 scale.
 
-![Benchmark for multithreading and multiprocessing](https://github.com/light-curve/light-curve-python/raw/readme-benchs/light-curve/.readme/multi_bench_v2.png)
+![Benchmark for multithreading and multiprocessing](https://github.com/light-curve/light-curve-python/raw/master/light-curve/.readme/multi_bench_v2.png)
 
 Processing time per a single light curve for extraction of features subset presented in first benchmark versus
 the