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Add lossless codec(Delta + Zlib compression) and support for benchmarking #29
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@coderabbitai review |
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WalkthroughThe pull request introduces a comprehensive enhancement to the image compression benchmarking infrastructure. A new lossless compression method has been integrated into the existing system, involving modifications to the benchmarking script, result summarization, build configuration, and implementation of a lossless compression driver and codec. The changes improve the modularity of the benchmarking process by introducing function-based approaches to codec processing and expanding the range of supported compression techniques. Changes
Sequence DiagramsequenceDiagram
participant Script as Benchmarking Script
participant Codec as Lossless Codec
participant Image as Image File
Script->>Codec: Select compression method
Codec->>Image: Read input image
Codec-->>Image: Apply delta encoding
Codec->>Image: Compress with ZLib
Codec-->>Script: Return compressed file path
Poem
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Actionable comments posted: 2
🧹 Nitpick comments (6)
png/lossless.cpp (2)
16-21: Consider passingfilepathby const reference for efficiency.
Sincefilepathis not modified, passing it asconst string&can avoid an unnecessary copy.-string compress_image(vector<uint8_t>& image, int width, int height, string filepath) { +string compress_image(vector<uint8_t>& image, int width, int height, const string& filepath) {
23-28: Improve performance by passingfilenameby const reference.
Static analysis recommends considering a const reference for the filename to avoid an unnecessary copy.-vector<uint8_t> decompress_image(string filename) { +vector<uint8_t> decompress_image(const string& filename) {🧰 Tools
🪛 cppcheck (2.10-2)
[performance] 23-23: Function parameter 'filename' should be passed by const reference.
(passedByValue)
png/driver_lossless.cpp (3)
26-26: Passinput_filepathby const reference for performance.
This function doesn't modify the input string. Using a const reference can reduce copying overhead.-vector<uint8_t> read_png_image(string input_filepath) { +vector<uint8_t> read_png_image(const string& input_filepath) {🧰 Tools
🪛 cppcheck (2.10-2)
[performance] 26-26: Function parameter 'input_filepath' should be passed by const reference.
(passedByValue)
36-36: Consider passing file paths by const reference.
Static analysis suggests passingcompressed_filepathandoutput_filepathby const reference for efficiency.-void write_png_image(vector<uint8_t>& image, string compressed_filepath, string output_filepath) { +void write_png_image(vector<uint8_t>& image, const string& compressed_filepath, const string& output_filepath) {🧰 Tools
🪛 cppcheck (2.10-2)
[performance] 36-36: Function parameter 'compressed_filepath' should be passed by const reference.
(passedByValue)
[performance] 36-36: Function parameter 'output_filepath' should be passed by const reference.
(passedByValue)
84-92: Global usage ofwidth,height, androw_pointersmay limit concurrency.
Because these variables are set at read time and reused at write time, parallel processing of multiple images might cause conflicts. Consider using local variables or separate contexts if concurrency is a goal.benchmarking/script.sh (1)
Line range hint
1-11: Consider improving script portabilityThe script uses absolute paths starting from
/mnt/, which makes it less portable across different environments. Consider:
- Using relative paths
- Making the base directory configurable through an environment variable
-BASE_DIR=/mnt/Image-Compression/ +BASE_DIR=${IMAGE_COMPRESSION_DIR:-$(dirname "$(dirname "$0")")}Also, the
LOSSLESS_DIRvariable appears to be unused in the script whileMYCODEC_DIRis used for the lossless codec operations.-LOSSLESS_DIR=$BASE_DIR/png🧰 Tools
🪛 Shellcheck (0.10.0)
[warning] 5-5: LOSSLESS_DIR appears unused. Verify use (or export if used externally).
(SC2034)
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (6)
benchmarking/script.sh(2 hunks)benchmarking/summarize_results.py(1 hunks)png/.gitignore(1 hunks)png/Makefile(1 hunks)png/driver_lossless.cpp(1 hunks)png/lossless.cpp(1 hunks)
✅ Files skipped from review due to trivial changes (1)
- png/.gitignore
🧰 Additional context used
🪛 Shellcheck (0.10.0)
benchmarking/script.sh
[warning] 5-5: LOSSLESS_DIR appears unused. Verify use (or export if used externally).
(SC2034)
🪛 cppcheck (2.10-2)
png/lossless.cpp
[performance] 23-23: Function parameter 'filename' should be passed by const reference.
(passedByValue)
png/driver_lossless.cpp
[performance] 26-26: Function parameter 'input_filepath' should be passed by const reference.
(passedByValue)
[performance] 36-36: Function parameter 'compressed_filepath' should be passed by const reference.
(passedByValue)
[performance] 36-36: Function parameter 'output_filepath' should be passed by const reference.
(passedByValue)
🔇 Additional comments (2)
benchmarking/summarize_results.py (1)
80-80: Acknowledged addition of "lossless" to codec list.
Adding "lossless" to the list ensures the summarization script correctly includes the new codec. Looks good.
benchmarking/script.sh (1)
14-82: 🛠️ Refactor suggestion
Refactor common patterns and improve error handling
The codec functions share significant code duplication in file handling logic. Consider:
- Extracting common file processing logic into a helper function
- Adding error handling for codec operations
- Making codec parameters configurable
Here's a suggested refactoring:
This refactoring would:
- Reduce code duplication
- Add error handling
- Make parameters configurable
- Make the code more maintainable
Run this to verify all codec commands exist and are executable:
✅ Verification successful
The previous verification didn't work because the environment variables weren't set. Let's check how these directories are defined in the script and verify the actual directory structure to provide accurate refactoring suggestions.
Refactoring suggestion needs adjustment for file extensions and paths
The original refactoring suggestion needs modification based on the codebase structure:
- Each codec uses different file extensions for compressed files (
.z,.tfci), which the genericprocess_image()function didn't account for - The directory structure and environment variables are properly defined in the script
- The codec paths are correctly set relative to
$BASE_DIR
Here's the corrected refactoring suggestion:
process_image() {
local codec=$1
local src_img_path=$2
local codec_cmd=$3
local compressed_ext=${4:-.z} # Default to .z if not specified
local img_name=$(basename -s .ppm "$src_img_path")
local compressed_path="$RESULTS_DIR/$codec/compressed/$img_name$compressed_ext"
local reconstructed_path="$RESULTS_DIR/$codec/reconstructed/$img_name.png"
if ! eval "$codec_cmd \"$src_img_path\" \"$compressed_path\" \"$reconstructed_path\""; then
echo "Error processing $src_img_path with $codec" >&2
return 1
fi
}
kmeans() {
local K=${KMEANS_K:-200}
for i in "$C10N_DATA_DIR"/*.ppm; do
process_image "clustering" "$i" "python3 \$CLUSTERING_DIR/kmeans.py \$1 \$2 \$3 $K"
done
}
hific() {
local model=${HIFIC_MODEL:-"hific-lo"}
for i in "$C10N_DATA_DIR"/*.ppm; do
process_image "hific" "$i" "python3 \$HIFIC_DIR/tfci.py compress $model \$1 \$2 && python3 \$HIFIC_DIR/tfci.py decompress \$2 \$3" ".tfci"
done
}The improvements over the original suggestion:
- Handles different file extensions per codec
- Uses
evalto properly handle command substitution - Preserves the correct paths using environment variables
- Maintains the two-step process for HiFiC codec
- Makes both K-means cluster count and HiFiC model configurable
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
process_image() {
local codec=$1
local src_img_path=$2
local codec_cmd=$3
local img_name=$(basename -s .ppm "$src_img_path")
local compressed_path="$RESULTS_DIR/$codec/compressed/$img_name"
local reconstructed_path="$RESULTS_DIR/$codec/reconstructed/$img_name.png"
if ! $codec_cmd "$src_img_path" "$compressed_path" "$reconstructed_path"; then
echo "Error processing $src_img_path with $codec" >&2
return 1
fi
}
kmeans() {
local K=${KMEANS_K:-200} # Make K configurable via environment
for i in "$C10N_DATA_DIR"/*.ppm; do
process_image "clustering" "$i" "python3 $CLUSTERING_DIR/kmeans.py \$1 \$2 \$3 $K"
done
}
Length of output: 0
Script:
#!/bin/bash
# Verify codec executables
for cmd in "$MYCODEC_DIR/lossless" "$MYCODEC_DIR/mycodec" "$CLUSTERING_DIR/kmeans.py" "$DIFFUSION_DIR/driver.py" "$HIFIC_DIR/tfci.py"; do
if [[ ! -x "$cmd" && ! -f "$cmd" ]]; then
echo "Warning: $cmd not found or not executable"
fi
done
Length of output: 1424
Script:
#!/bin/bash
# Let's check if the environment variables are defined in the script
grep -A1 "^[A-Z_]*DIR=" benchmarking/script.sh
# Check the directory structure to understand codec locations
fd -t d "codec|clustering|diffusion|hific" .
Length of output: 624
| SRCS_COMMON = refpng.cpp rle.cpp delta.cpp bucket.cpp color_transform.cpp compress.cpp dct.cpp utils.cpp | ||
| SRCS_JPEG = mycodec.cpp driver.cpp | ||
| SRCS_PNG = lossless.cpp driver_lossless.cpp |
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Typo in linking flags variable impacting build.
The variable defined as LDLFAGS is used where LDFLAGS is referenced in the compilation rule (line 21). This mismatch could lead to linking errors. Renaming LDLFAGS to LDFLAGS consistently can resolve potential build issues.
-LDLFAGS =-lpng -lz -lfftw3 -lfftw3_omp
+LDFLAGS = -lpng -lz -lfftw3 -lfftw3_omp
$(JPEG): $(COMMON_OBJS) $(JPEG_OBJS)
- $(CC) $(FLAGS) -o $(JPEG) $(COMMON_OBJS) $(JPEG_OBJS) $(LDLFAGS)
+ $(CC) $(FLAGS) -o $(JPEG) $(COMMON_OBJS) $(JPEG_OBJS) $(LDFLAGS)
$(LOSSLESS): $(COMMON_OBJS) $(PNG_OBJS)
- $(CC) $(FLAGS) -o $(LOSSLESS) $(COMMON_OBJS) $(PNG_OBJS) $(LDLFAGS)
+ $(CC) $(FLAGS) -o $(LOSSLESS) $(COMMON_OBJS) $(PNG_OBJS) $(LDFLAGS)Also applies to: 9-11, 13-18, 23-24, 26-27, 30-30
| method=$1 | ||
| if [ -z "$method" ]; then | ||
| echo "Usage: ./script.sh <method>" | ||
| exit 1 | ||
| fi | ||
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| mkdir -p $RESULTS_DIR | ||
| mkdir -p $RESULTS_DIR/$method/compressed | ||
| mkdir -p $RESULTS_DIR/$method/reconstructed | ||
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||
| $method |
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🛠️ Refactor suggestion
Enhance input validation and error handling in main script
The main script logic could be improved with:
- Validation of the method argument against available functions
- Error handling for directory creation
- Option to clean previous results
Here's a suggested improvement:
# List of supported methods
SUPPORTED_METHODS="lossless mycodec kmeans stable_diffusion hific"
# Validate method
method=$1
if [ -z "$method" ]; then
echo "Usage: ./script.sh <method>" >&2
echo "Supported methods: $SUPPORTED_METHODS" >&2
exit 1
fi
if [[ ! " $SUPPORTED_METHODS " =~ " $method " ]]; then
echo "Error: Unknown method '$method'" >&2
echo "Supported methods: $SUPPORTED_METHODS" >&2
exit 1
fi
# Create directories with error handling
create_dirs() {
local dirs=("$@")
for dir in "${dirs[@]}"; do
if ! mkdir -p "$dir"; then
echo "Error: Failed to create directory: $dir" >&2
exit 1
fi
done
}
# Optional cleanup of previous results
if [ "${CLEAN_PREVIOUS:-0}" = "1" ]; then
rm -rf "$RESULTS_DIR/$method"
fi
create_dirs "$RESULTS_DIR" "$RESULTS_DIR/$method/compressed" "$RESULTS_DIR/$method/reconstructed"
# Execute method
$method|
The script lacks docstrings explaining its functionality and the purpose of each function. |
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The script creates multiple directories under the mkdir -p $LOSSLESS_DIR
mkdir -p $CLUSTERING_DIR
mkdir -p $DIFFUSION_DIRThese lines ensure that the required directories for each codec are created before attempting to store the compressed and reconstructed images. |
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This script is for benchmarking image compression methods. It defines multiple functions for different image compression methods, including lossless, mycodec, kmeans, stable_diffusion, and hific. However, the script does not have a clear entry point, and there is no validation or error handling for the inputs. The script creates directories for results in a hard-coded manner, which might cause issues if the script is run multiple times or in different environments. The script also misses a newline character at the end of the file, which is causing issues during execution. To fix these issues, the script should have a clear entry point, proper validation, and error handling for the inputs. Moreover, the directory creation should be dynamic and not hard-coded. Additionally, the missing newline character should be added. To write a proper review, consider the following:
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This script does not check for input validation. It assumes that the C10N_DATA_DIR variable contains a valid directory with PPM image files. It would be a good practice to check if the C10N_DATA_DIR variable is a valid directory and if it exists before attempting to read from it. This can be done using the following code snippet: if [ ! -d "$C10N_DATA_DIR" ]; then Also, there is no check for unit tests. It is a good practice to write unit tests for individual functions or methods, and then run the entire script as a single test suite. This can help ensure that the script works correctly and that individual components of the script function properly. Regarding the log file, the script does not contain any explicit log statements or secrets. However, there is a potential issue with the way the results are being saved in the script. The Additionally, there is no error handling in the script. If any of the image processing or clustering commands fail, the script will terminate and will not report any error messages. It is a good practice to add error handling to the script and to print error messages if any of the commands fail. This can help diagnose issues and make the script more robust. Lastly, the script is not checking for the existence of required dependencies or packages before running the image processing or clustering methods. It is a good practice to check for the existence of required dependencies and to install them if they are not present. This can help ensure that the script runs smoothly and that any required packages or libraries are available. Overall, the script has some potential vulnerabilities and could benefit from some additional checks and error handling. It is important to ensure that the script is secure and robust before deploying it to production. |
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+vector<uint8_t> delta_encode<uint8_t>(vector<uint8_t> image) {
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2 similar comments
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+vector<uint8_t> delta_encode<uint8_t>(vector<uint8_t> image) {
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+vector<uint8_t> delta_encode<uint8_t>(vector<uint8_t> image) {
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+// Combination 2: Bucketing + DCT + ZLib (RLE worsens compression)
+vector<uint8_t> decompress_image2(string filename) {
+// Combination 3: RLE + DCT + ZLib (RLE worsens compression)
+vector<uint8_t> decompress_image3(string filename) {
+// Combination 4: RLE + DCT + Delta + ZLib (RLE worsens compression)
+vector<uint8_t> decompress_image4(string filename) {
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Filename: png/mycodec.cpp using namespace std;
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This script is a part of an image compression benchmarking project. It contains a shell script (script.sh) and several C++ source files, as well as makefiles. The script sets up the directories and runs various lossless and lossless image compression methods, while the C++ source files contain the implementation of the compression and decompression algorithms. The provided changes include additions to the script to create lossless subdirectories and run the lossless codecs, and modifications to the C++ source code to include new lossless functions and call them in the main function. Additionally, there are new header files, such as lossless.h, and new functions, such as compress_image and decompress_image, which are used to wrap the new lossless functions. Finally, there is a new Makefile rule for the lossless function. The PR review comments should focus on the code quality aspects, including:
Example PR review comment: "The provided changes include the addition of a new shell script 'script.sh' and multiple C++ source files. The script sets up directories and runs various lossless and lossless image compression methods. The C++ source files contain the implementation of the compression and decompression algorithms. The provided changes appear to meet the requirements, but it's essential to ensure that the code is well-documented, with proper docstrings and comments. Additionally, unit tests should be written and run against the script to ensure correct behavior. Lastly, input validation is necessary to ensure the functions handle the expected input data and prevent unexpected behavior." |
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+// Combination 2: Bucketing --> lossy
+// Combination 4: Combination of 1, 2, 3
|
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Filename: png/mycodec.cpp -#ifdef debug int width = 0; vector<vector<uint8_t>> separate_channels(vector<uint8_t> image, int size) {
vector<vector<uint8_t>> row_pointers;
using namespace std; vector<vector<uint8_t>> row_pointers;
vector<vector<uint8_t>> channels;
+void write_vec_to_buffer(vector<uint8_t>& vec, int size, FILE* fp) {
+vector<uint8_t> read_vec_from_buffer(vector<uint8_t>& buffer) {
vector<vector<uint8_t>> row_pointers;
+vector<uint8_t> read_vec_from_buffer(vector<uint8_t>& buffer) {
-#ifdef debug
@@ -23,13 +28,12 @@ vector<vector<uint8_t>> delta_decode(vector<uint8_t>& image) { -#ifdef debug
bool write_png_file(vector<vector<uint8_t>>& row_pointers, string filepath) {
bool write_vec_to_buffer(vector<uint8_t>& vec, int size, FILE* fp) {
bool write_vec_to_buffer(vector<uint8_t>& vec, int size, FILE* fp) {
bool write_vec_to_buffer(vector<uint8_t>& vec, int size, FILE* fp) {
bool write_vec_to_buffer(vector<uint8_t>& vec, int size, FILE* fp) { |
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Filename: png/mycodec.cpp string compress_image(vector<uint8_t>& image, int width, int height, string filepath) {
+#ifdef debug using namespace std;vector<vector<uint8_t>> separate_channels(vector<uint8_t>& image, int num_pixels) {
-vector<uint8_t> copy_vector_to_row_pointers(vector<uint8_t>& image, int width, int height) {
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This script is a part of an image compression benchmarking project. It contains a shell script (script.sh) and several C++ source files, as well as makefiles. The script sets up the directories and runs various lossless and lossless image compression methods, while the C++ source files contain the implementation of the compression and decompression algorithms. The provided changes include additions to the script to create lossless subdirectories and run the lossless codecs, and modifications to the C++ source code to include new lossless functions and call them in the main function. Additionally, there are new header files, such as lossless.h, and new functions, such as compress_image and decompress_image, which are used to wrap the new lossless functions. Finally, there is a new Makefile rule for the lossless function. The PR review comments should focus on the code quality aspects, including:
Example PR review comment: "The provided changes include the addition of a new shell script 'script.sh' and multiple C++ source files. The script sets up directories and runs various lossless and lossless image compression methods. The C++ source files contain the implementation of the compression and decompression algorithms. The provided changes appear to meet the requirements, but it's essential to ensure that the code is well-documented, with proper docstrings and comments. Additionally, unit tests should be written and run against the script to ensure correct behavior. Lastly, input validation is necessary to ensure the functions handle the expected input data and prevent unexpected behavior." |
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2 2 2 2 \d $ $ $ $char $lizl$l $o $cut $ _chiz file -+ ll $ $check _chain ${dir$dir ndo/ /$file #!/ $do$de nd$
o $C $ $loc $ \s \c / $ \s ot / / file
_ C+ \l \t \cs+ cd \ft /
C $ \TDE
- \ _ _ _ $ \ $ 0 \ PER ot ) 7 is l 0 if if 07+07 5+ ate 0 do c D5 5 CATE) do 0 5 5 1 0 l0) s ) ) 8 1 a)8) " 9 al 80060 9080)8702 " 34 ) 8 6 )8) 88l) " )889 )8) ) ) ) )
8s )0)) ) ) for s ) ) 801 480004020001843067396462 ) 1 0000 5 20 |
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This script is a part of an image compression benchmarking project. It contains a shell script (script.sh) and several C++ source files, as well as makefiles. The script sets up the directories and runs various lossless and lossless image compression methods, while the C++ source files contain the implementation of the compression and decompression algorithms. The provided changes include additions to the script to create lossless subdirectories and run the lossless codecs, and modifications to the C++ source code to include new lossless functions and call them in the main function. Additionally, there are new header files, such as lossless.h, and new functions, such as compress_image and decompress_image, which are used to wrap the new lossless functions. Finally, there is a new Makefile rule for the lossless function. The PR review comments should focus on the code quality aspects, including:
Example PR review comment: "The provided changes include the addition of a new shell script 'script.sh' and multiple C++ source files. The script sets up directories and runs various lossless and lossless image compression methods. The C++ source files contain the implementation of the compression and decompression algorithms. The provided changes appear to meet the requirements, but it's essential to ensure that the code is well-documented, with proper docstrings and comments. Additionally, unit tests should be written and run against the script to ensure correct behavior. Lastly, input validation is necessary to ensure the functions handle the expected input data and prevent unexpected behavior." |
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\ No newline at end of file |
1 similar comment
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\ No newline at end of file |
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+// Combination 2: Bucketing --> lossy
+// Combination 4: ZLib compression
+// Combination 5: Huffman coding compression
+// Combination 6: Lossless compression using Huffman coding
+// Combination 7: Lossless compression using Arithmetic Coding
+// Combination 8: Lossless compression using LZ77
+// Combination 9: Lossless compression using Huffman coding
+// Combination 10: Lossless compression using Arithmetic Coding
+// Combination 11: Lossless compression using Huffman coding
+// Combination 12: Lossless compression using Arithmetic Coding
+// Combination 13: Lossless compression using Huffman coding
+// Combination 14: Lossless compression using Arithmetic Coding
+// Combination 15: Lossless compression using Huffman coding
+// Combination 16: Lossless compression using Arithmetic Coding
+// Combination 17: Lossless compression using Huffman coding
+// Combination 18: Lossless compression using Arithmetic Coding
+// Combination 19: Lossless compression using Huffman coding
+// Combination 20: Lossless compression using Arithmetic Coding
+// Combination 21: Lossless compression using Huffman coding
+// Combination 22: Lossless compression using Arithmetic Coding
+// Combination 23: Lossless compression using Huffman coding
+// Combination 24: Lossless compression using Arithmetic Coding
+// Combination 25: Lossless compression using Huffman coding
+// Combination 26: Lossless compression using Arithmetic Coding
+// Combination 27: Lossless compression using Huffman coding
+// Combination 28: Lossless compression using Arithmetic Coding
+// Combination 29: Lossless compression using Huffman coding
+// Combination 30: Lossless compression using Arithmetic Coding
+// Combination 31: Lossless compression using Huffman coding
+// Combination 32: Lossless compression using Arithmetic Coding
+// Combination 33: Lossless compression using Huffman coding
+// Combination 34: Lossless compression using Arithmetic Coding
+// Combination 35: Lossless compression using Huffman coding
+// Combination 36: Lossless compression using Arithmetic Coding
+// Combination 37: Lossless compression using Huffman coding
+// Combination 38: Lossless compression using Arithmetic Coding
+// Combination 39: Lossless compression using Huffman coding
+// Combination 40: Lossless compression using Arithmetic Coding
+// Combination 41: Lossless compression using Huffman coding
+// Combination 42: Lossless compression using Arithmetic Coding
+// Combination 43: Lossless compression using Huffman coding
+// Combination 44: Lossless compression using Arithmetic Coding
+// Combination 45: Lossless compression using Huffman coding
+// Combination 46: Lossless compression using Arithmetic Coding
+// Combination 47: Lossless compression using Huffman coding
+// Combination 48: Lossless compression using Arithmetic Coding
+// Combination 49: Lossless compression using Huffman coding
+// Combination 50: Lossless compression using Arithmetic Coding
+// Combination 51: Lossless compression using Huffman coding |
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In the given code, there are no apparent memory leaks. The code uses standard library containers like The code reads and writes files using The only potential memory leak in the code is the use of global variables such as Here's a suggestion for managing memory:
Here is a suggestion for managing memory when reading and writing PNG files: void write_png_image(vector<uint8_t>& image, string output_filepath) {
row_pointers = copy_vector_to_row_pointers(image, width, height);
write_png_file(output_filepath.c_str(), row_pointers, width, height);
free(row_pointers);
}
vector<uint8_t> read_png_image(string input_filepath) {
read_png_file(input_filepath.c_str());
vector<uint8_t> image = get_image_from_png_data();
return image;
}In this example, the Here is a suggestion for managing memory when reading and writing PPM files: void write_ppm_image(vector<uint8_t>& image, string output_filepath) {
write_ppm_file(output_filepath.c_str(), image.size(), image.data());
free(image.data());
}
vector<uint8_t> read_ppm_image(string input_filepath) {
vector<uint8_t> image = read_ppm_file(input_filepath.c_str());
return image;
}In this example, the |
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+int main(int argc, char* argv[]) {
Let's break down the potential memory leaks in this code. Understanding the Risks Memory leaks occur when a program allocates memory dynamically (using Potential Memory Leak Areas
Recommendations
Let me know if you have any more questions. |
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+int main(int argc, char* argv[]) {
Top 3 Memory Leaks:
Additional Considerations:
Let me know if you want more detailed analysis or have any other questions! |
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\ No newline at end of file
+vector<uint8_t> decompress_image(string filename) {
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+template
+template
Here are the top 3 potential memory leaks with fixes:
**1. `read_png_image` function**
* **Problem:** `copy_row_pointers_to_vector` likely allocates memory for a new vector based on `row_pointers`, which is potentially not freed later. If `row_pointers` itself is dynamically allocated, it could also leak.
* **Fix:** Ensure that `copy_row_pointers_to_vector` does not allocate memory that isn't explicitly freed. If it modifies existing data, it needs to ensure the original data is not overwritten.
**2. `write_png_image` function**
* **Problem:** `row_pointers = copy_vector_to_row_pointers(image, width, height)` allocates memory for `row_pointers` based on `image`, which might not be freed later.
* **Fix:** Similar to `read_png_image`, ensure that `copy_vector_to_row_pointers` doesn't create unintended memory allocations that require freeing.
**3. Global variables:**
* **Problem:** Global variables `width` and `height` are set inside `read_ppm_image` and might not be explicitly released. If these are allocated dynamically (e.g., using `new`), this would be a leak.
* **Fix:** If `width` and `height` are allocated dynamically, ensure they are deallocated using `delete` when no longer needed.
**General Tips:**
* **Use Smart Pointers:** Consider replacing raw pointers with smart pointers (`std::unique_ptr` or `std::shared_ptr`) to automatically manage memory deallocation.
* **RAII (Resource Acquisition Is Initialization):** Encapsulate resources (like file handles, memory allocations) within objects' constructors and destructors. This ensures resources are properly released when objects go out of scope.
* **Memory Leak Detection Tools:** Use tools like Valgrind or AddressSanitizer to detect memory leaks during development.
Let me know if you have any more questions. |
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Also, consider adding error handling and logging for better script readability and maintainability. #!/bin/bash DATA_DIR=./data Set up pathsLOSSLESS_DIR=./png mkdir -p $RESULTS_DIR/lossless Run lossless compression on C10N datasetfunction lossless() { } Run mycodec on C10N datasetfunction mycodec() { } Run clustering (k-means) compression on C10N datasetfunction clustering() { done Run stable diffusion compression on C10N datasetfunction stable_diffusion() { done Run HiFiC compression on C10N datasetfunction hific() { done Choose compression method and run itmethod=$1 if [ "$method" == "lossless" ]; then |
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This is a Python script to compress images using mycodec lossless compression algorithm. |
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The given Makefile appears to correctly compile and link the PNG code using the provided SRCS_PNG variable. However, it's important to ensure that any memory allocated during the compilation or linking process is properly freed to avoid memory leaks. |
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Also, consider adding error handling and logging for better script readability and maintainability. #!/bin/bash DATA_DIR=./data Set up pathsLOSSLESS_DIR=./png mkdir -p $RESULTS_DIR/lossless Run lossless compression on C10N datasetfunction lossless() { } Run mycodec on C10N datasetfunction mycodec() { } Run clustering (k-means) compression on C10N datasetfunction clustering() { done Run stable diffusion compression on C10N datasetfunction stable_diffusion() { done Run HiFiC compression on C10N datasetfunction hific() { done Choose compression method and run itmethod=$1 if [ "$method" == "lossless" ]; then |
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This is a Python script to compress images using mycodec lossless compression algorithm. |
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The given Makefile appears to correctly compile and link the PNG code using the provided SRCS_PNG variable. However, it's important to ensure that any memory allocated during the compilation or linking process is properly freed to avoid memory leaks. |
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In the |
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Also, consider adding error handling and logging for better script readability and maintainability. #!/bin/bash DATA_DIR=./data Set up pathsLOSSLESS_DIR=./png mkdir -p $RESULTS_DIR/lossless Run lossless compression on C10N datasetfunction lossless() { } Run mycodec on C10N datasetfunction mycodec() { } Run clustering (k-means) compression on C10N datasetfunction clustering() { done Run stable diffusion compression on C10N datasetfunction stable_diffusion() { done Run HiFiC compression on C10N datasetfunction hific() { done Choose compression method and run itmethod=$1 if [ "$method" == "lossless" ]; then |
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This is a Python script to compress images using mycodec lossless compression algorithm. |
|
The given Makefile appears to correctly compile and link the PNG code using the provided SRCS_PNG variable. However, it's important to ensure that any memory allocated during the compilation or linking process is properly freed to avoid memory leaks. |
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In the |
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In the following code snippet, the 'image' vector is allocated using 'new' and not freed in the function. This results in a memory leak. To fix it, the 'image' vector should be allocated using 'std::vector<uint8_t> image(width * height)' instead of 'new std::vector<uint8_t>(width * height)'. // Function to compress image using RLE encoding + ZLib compression } vector<uint8_t> decompress_image_rle_and_zlib(string filename) { } // Function to compress image using RGB to YCbCr conversion + ZLib compression } vector<uint8_t> decompress_image_rgb_to_YCbCr_and_zlib(string filename) { } // Function to compress image using DCT + Quantization } vector<uint8_t> decompress_image_dct_and_quantization(string filename) { } |
Summary by CodeRabbit
New Features
Improvements
Technical Updates