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authorAngie Chiang <angiebird@google.com>2019-03-08 18:31:57 +0000
committerGerrit Code Review <noreply-gerritcodereview@google.com>2019-03-08 18:31:57 +0000
commitaf5e63091555b015f05c90940143eb86dfc0b32f (patch)
tree69f8335855a4b3bfcc0d27607f1c79f027bd4405
parent47f8ce0f7c6ee95598d336263d6714abe19aa204 (diff)
parentcbd966f1ab4d44af7c3de84316a543f3d3516d15 (diff)
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Merge changes Ib8e635fc,If868f67c,Ibfeae411
* changes: Include mv_mode_arr info in dump_tpl_stats Include gf_frame_offset in dump_tpl_stats Refactor dump_tpl_stats
-rw-r--r--tools/non_greedy_mv/non_greedy_mv.py42
-rw-r--r--vp9/encoder/vp9_encoder.c87
2 files changed, 79 insertions, 50 deletions
diff --git a/tools/non_greedy_mv/non_greedy_mv.py b/tools/non_greedy_mv/non_greedy_mv.py
index a63af246d..5ec5f4ad4 100644
--- a/tools/non_greedy_mv/non_greedy_mv.py
+++ b/tools/non_greedy_mv/non_greedy_mv.py
@@ -91,6 +91,13 @@ def read_feature_score(fp, mv_rows, mv_cols):
feature_score = feature_score.reshape(mv_rows, mv_cols)
return feature_score
+def read_mv_mode_arr(fp, mv_rows, mv_cols):
+ line = fp.readline()
+ word_ls = line.split()
+ mv_mode_arr = np.array([int(v) for v in word_ls])
+ mv_mode_arr = mv_mode_arr.reshape(mv_rows, mv_cols)
+ return mv_mode_arr
+
def read_frame_dpl_stats(fp):
line = fp.readline()
@@ -99,6 +106,10 @@ def read_frame_dpl_stats(fp):
mi_rows = int(word_ls[3])
mi_cols = int(word_ls[5])
bs = int(word_ls[7])
+ ref_frame_idx = int(word_ls[9])
+ rf_idx = int(word_ls[11])
+ gf_frame_offset = int(word_ls[13])
+ ref_gf_frame_offset = int(word_ls[15])
mi_size = bs / 8
mv_ls = []
mv_rows = int((math.ceil(mi_rows * 1. / mi_size)))
@@ -112,14 +123,11 @@ def read_frame_dpl_stats(fp):
mv_col = int(word_ls[3]) / 8.
mv_ls.append([col, row, mv_col, mv_row])
mv_ls = np.array(mv_ls)
- img = yuv_to_rgb(read_frame(fp))
feature_score = read_feature_score(fp, mv_rows, mv_cols)
- ref = None
- line = fp.readline()
- word_ls = line.split()
- if int(word_ls[1]):
- ref = yuv_to_rgb(read_frame(fp))
- return frame_idx, mv_ls, img, ref, bs, feature_score
+ mv_mode_arr = read_mv_mode_arr(fp, mv_rows, mv_cols)
+ img = yuv_to_rgb(read_frame(fp))
+ ref = yuv_to_rgb(read_frame(fp))
+ return rf_idx, frame_idx, ref_frame_idx, gf_frame_offset, ref_gf_frame_offset, mv_ls, img, ref, bs, feature_score, mv_mode_arr
def read_dpl_stats_file(filename, frame_num=0):
@@ -140,7 +148,7 @@ def read_dpl_stats_file(filename, frame_num=0):
if __name__ == '__main__':
filename = sys.argv[1]
data_ls = read_dpl_stats_file(filename, frame_num=5)
- for frame_idx, mv_ls, img, ref, bs, feature_score in data_ls:
+ for rf_idx, frame_idx, ref_frame_idx, gf_frame_offset, ref_gf_frame_offset, mv_ls, img, ref, bs, feature_score, mv_mode_arr in data_ls:
fig, axes = plt.subplots(2, 2)
axes[0][0].imshow(img)
@@ -159,12 +167,14 @@ if __name__ == '__main__':
axes[0][1].set_xlim(0, ref.shape[1])
axes[1][0].imshow(feature_score)
- feature_score_arr = feature_score.flatten()
- feature_score_max = feature_score_arr.max()
- feature_score_min = feature_score_arr.min()
- step = (feature_score_max - feature_score_min) / 20.
- feature_score_bins = np.arange(feature_score_min, feature_score_max, step)
- axes[1][1].hist(feature_score_arr, bins=feature_score_bins)
-
+ #feature_score_arr = feature_score.flatten()
+ #feature_score_max = feature_score_arr.max()
+ #feature_score_min = feature_score_arr.min()
+ #step = (feature_score_max - feature_score_min) / 20.
+ #feature_score_bins = np.arange(feature_score_min, feature_score_max, step)
+ #axes[1][1].hist(feature_score_arr, bins=feature_score_bins)
+ im = axes[1][1].imshow(mv_mode_arr)
+ #axes[1][1].figure.colorbar(im, ax=axes[1][1])
+
+ print rf_idx, frame_idx, ref_frame_idx, gf_frame_offset, ref_gf_frame_offset, len(mv_ls)
plt.show()
- print frame_idx, len(mv_ls)
diff --git a/vp9/encoder/vp9_encoder.c b/vp9/encoder/vp9_encoder.c
index 72e72176f..57900b8fc 100644
--- a/vp9/encoder/vp9_encoder.c
+++ b/vp9/encoder/vp9_encoder.c
@@ -6750,46 +6750,65 @@ static void dump_frame_buf(const YV12_BUFFER_CONFIG *frame_buf) {
}
static void dump_tpl_stats(const VP9_COMP *cpi, int tpl_group_frames,
+ const GF_GROUP *gf_group,
const GF_PICTURE *gf_picture, BLOCK_SIZE bsize) {
int frame_idx;
const VP9_COMMON *cm = &cpi->common;
+ int rf_idx;
for (frame_idx = 1; frame_idx < tpl_group_frames; ++frame_idx) {
- const TplDepFrame *tpl_frame = &cpi->tpl_stats[frame_idx];
- int idx = 0;
- int mi_row, mi_col;
- int rf_idx;
- const int mi_height = num_8x8_blocks_high_lookup[bsize];
- const int mi_width = num_8x8_blocks_wide_lookup[bsize];
- printf("=\n");
- printf("frame_idx %d mi_rows %d mi_cols %d bsize %d\n", frame_idx,
- cm->mi_rows, cm->mi_cols, mi_width * MI_SIZE);
- for (mi_row = 0; mi_row < cm->mi_rows; ++mi_row) {
- for (mi_col = 0; mi_col < cm->mi_cols; ++mi_col) {
- if ((mi_row % mi_height) == 0 && (mi_col % mi_width) == 0) {
- int_mv mv = *get_pyramid_mv(tpl_frame, idx, bsize, mi_row, mi_col);
- printf("%d %d %d %d\n", mi_row, mi_col, mv.as_mv.row, mv.as_mv.col);
+ for (rf_idx = 0; rf_idx < 3; ++rf_idx) {
+ const TplDepFrame *tpl_frame = &cpi->tpl_stats[frame_idx];
+ int mi_row, mi_col;
+ int ref_frame_idx;
+ const int mi_height = num_8x8_blocks_high_lookup[bsize];
+ const int mi_width = num_8x8_blocks_wide_lookup[bsize];
+ ref_frame_idx = gf_picture[frame_idx].ref_frame[rf_idx];
+ if (ref_frame_idx != -1) {
+ YV12_BUFFER_CONFIG *ref_frame_buf = gf_picture[ref_frame_idx].frame;
+ const int gf_frame_offset = gf_group->frame_gop_index[frame_idx];
+ const int ref_gf_frame_offset =
+ gf_group->frame_gop_index[ref_frame_idx];
+ printf("=\n");
+ printf(
+ "frame_idx %d mi_rows %d mi_cols %d bsize %d ref_frame_idx %d "
+ "rf_idx %d gf_frame_offset %d ref_gf_frame_offset %d\n",
+ frame_idx, cm->mi_rows, cm->mi_cols, mi_width * MI_SIZE,
+ ref_frame_idx, rf_idx, gf_frame_offset, ref_gf_frame_offset);
+ for (mi_row = 0; mi_row < cm->mi_rows; ++mi_row) {
+ for (mi_col = 0; mi_col < cm->mi_cols; ++mi_col) {
+ if ((mi_row % mi_height) == 0 && (mi_col % mi_width) == 0) {
+ int_mv mv =
+ *get_pyramid_mv(tpl_frame, rf_idx, bsize, mi_row, mi_col);
+ printf("%d %d %d %d\n", mi_row, mi_col, mv.as_mv.row,
+ mv.as_mv.col);
+ }
+ }
}
- }
- }
-
- dump_frame_buf(gf_picture[frame_idx].frame);
-
- for (mi_row = 0; mi_row < cm->mi_rows; ++mi_row) {
- for (mi_col = 0; mi_col < cm->mi_cols; ++mi_col) {
- if ((mi_row % mi_height) == 0 && (mi_col % mi_width) == 0) {
- const TplDepStats *tpl_ptr =
- &tpl_frame->tpl_stats_ptr[mi_row * tpl_frame->stride + mi_col];
- printf("%f ", tpl_ptr->feature_score);
+ for (mi_row = 0; mi_row < cm->mi_rows; ++mi_row) {
+ for (mi_col = 0; mi_col < cm->mi_cols; ++mi_col) {
+ if ((mi_row % mi_height) == 0 && (mi_col % mi_width) == 0) {
+ const TplDepStats *tpl_ptr =
+ &tpl_frame
+ ->tpl_stats_ptr[mi_row * tpl_frame->stride + mi_col];
+ printf("%f ", tpl_ptr->feature_score);
+ }
+ }
}
- }
- }
- printf("\n");
+ printf("\n");
+
+ for (mi_row = 0; mi_row < cm->mi_rows; mi_row += mi_height) {
+ for (mi_col = 0; mi_col < cm->mi_cols; mi_col += mi_width) {
+ const int mv_mode =
+ tpl_frame
+ ->mv_mode_arr[rf_idx][mi_row * tpl_frame->stride + mi_col];
+ printf("%d ", mv_mode);
+ }
+ }
+ printf("\n");
- rf_idx = gf_picture[frame_idx].ref_frame[idx];
- printf("has_ref %d\n", rf_idx != -1);
- if (rf_idx != -1) {
- YV12_BUFFER_CONFIG *ref_frame_buf = gf_picture[rf_idx].frame;
- dump_frame_buf(ref_frame_buf);
+ dump_frame_buf(gf_picture[frame_idx].frame);
+ dump_frame_buf(ref_frame_buf);
+ }
}
}
}
@@ -6896,7 +6915,7 @@ static void setup_tpl_stats(VP9_COMP *cpi) {
#if CONFIG_NON_GREEDY_MV
cpi->tpl_ready = 1;
#if DUMP_TPL_STATS
- dump_tpl_stats(cpi, tpl_group_frames, gf_picture, cpi->tpl_bsize);
+ dump_tpl_stats(cpi, tpl_group_frames, gf_group, gf_picture, cpi->tpl_bsize);
#endif // DUMP_TPL_STATS
#endif // CONFIG_NON_GREEDY_MV
}